A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.
Sequential operating programs and data which instruct the functioning of a digital computer.
In INFORMATION RETRIEVAL, machine-sensing or identification of visible patterns (shapes, forms, and configurations). (Harrod's Librarians' Glossary, 7th ed)
Computer-based representation of physical systems and phenomena such as chemical processes.
A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.
The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.
Theory and development of COMPUTER SYSTEMS which perform tasks that normally require human intelligence. Such tasks may include speech recognition, LEARNING; VISUAL PERCEPTION; MATHEMATICAL COMPUTING; reasoning, PROBLEM SOLVING, DECISION-MAKING, and translation of language.
Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.
Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed)
A set of statistical methods used to group variables or observations into strongly inter-related subgroups. In epidemiology, it may be used to analyze a closely grouped series of events or cases of disease or other health-related phenomenon with well-defined distribution patterns in relation to time or place or both.
A technique of inputting two-dimensional images into a computer and then enhancing or analyzing the imagery into a form that is more useful to the human observer.
A process that includes the determination of AMINO ACID SEQUENCE of a protein (or peptide, oligopeptide or peptide fragment) and the information analysis of the sequence.
The arrangement of two or more amino acid or base sequences from an organism or organisms in such a way as to align areas of the sequences sharing common properties. The degree of relatedness or homology between the sequences is predicted computationally or statistically based on weights assigned to the elements aligned between the sequences. This in turn can serve as a potential indicator of the genetic relatedness between the organisms.
Methods developed to aid in the interpretation of ultrasound, radiographic images, etc., for diagnosis of disease.
Devices or objects in various imaging techniques used to visualize or enhance visualization by simulating conditions encountered in the procedure. Phantoms are used very often in procedures employing or measuring x-irradiation or radioactive material to evaluate performance. Phantoms often have properties similar to human tissue. Water demonstrates absorbing properties similar to normal tissue, hence water-filled phantoms are used to map radiation levels. Phantoms are used also as teaching aids to simulate real conditions with x-ray or ultrasonic machines. (From Iturralde, Dictionary and Handbook of Nuclear Medicine and Clinical Imaging, 1990)
Theoretical representations that simulate the behavior or activity of genetic processes or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
Computer-assisted processing of electric, ultrasonic, or electronic signals to interpret function and activity.
The act of testing the software for compliance with a standard.
The process of generating three-dimensional images by electronic, photographic, or other methods. For example, three-dimensional images can be generated by assembling multiple tomographic images with the aid of a computer, while photographic 3-D images (HOLOGRAPHY) can be made by exposing film to the interference pattern created when two laser light sources shine on an object.
A multistage process that includes cloning, physical mapping, subcloning, determination of the DNA SEQUENCE, and information analysis.
Improvement of the quality of a picture by various techniques, including computer processing, digital filtering, echocardiographic techniques, light and ultrastructural MICROSCOPY, fluorescence spectrometry and microscopy, scintigraphy, and in vitro image processing at the molecular level.
A stochastic process such that the conditional probability distribution for a state at any future instant, given the present state, is unaffected by any additional knowledge of the past history of the system.
Linear POLYPEPTIDES that are synthesized on RIBOSOMES and may be further modified, crosslinked, cleaved, or assembled into complex proteins with several subunits. The specific sequence of AMINO ACIDS determines the shape the polypeptide will take, during PROTEIN FOLDING, and the function of the protein.
Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties.
A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihood of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.
The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.
In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)
The process of pictorial communication, between human and computers, in which the computer input and output have the form of charts, drawings, or other appropriate pictorial representation.
Controlled operation of an apparatus, process, or system by mechanical or electronic devices that take the place of human organs of observation, effort, and decision. (From Webster's Collegiate Dictionary, 1993)
Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.
Hybridization of a nucleic acid sample to a very large set of OLIGONUCLEOTIDE PROBES, which have been attached individually in columns and rows to a solid support, to determine a BASE SEQUENCE, or to detect variations in a gene sequence, GENE EXPRESSION, or for GENE MAPPING.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Computer-assisted study of methods for obtaining useful quantitative solutions to problems that have been expressed mathematically.
Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.
The portion of an interactive computer program that issues messages to and receives commands from a user.
Information application based on a variety of coding methods to minimize the amount of data to be stored, retrieved, or transmitted. Data compression can be applied to various forms of data, such as images and signals. It is used to reduce costs and increase efficiency in the maintenance of large volumes of data.
Approximate, quantitative reasoning that is concerned with the linguistic ambiguity which exists in natural or synthetic language. At its core are variables such as good, bad, and young as well as modifiers such as more, less, and very. These ordinary terms represent fuzzy sets in a particular problem. Fuzzy logic plays a key role in many medical expert systems.
Any visible result of a procedure which is caused by the procedure itself and not by the entity being analyzed. Common examples include histological structures introduced by tissue processing, radiographic images of structures that are not naturally present in living tissue, and products of chemical reactions that occur during analysis.
Application of computer programs designed to assist the physician in solving a diagnostic problem.
Databases devoted to knowledge about specific genes and gene products.
Application of statistical procedures to analyze specific observed or assumed facts from a particular study.
Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.
Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.
Organized activities related to the storage, location, search, and retrieval of information.
Functions constructed from a statistical model and a set of observed data which give the probability of that data for various values of the unknown model parameters. Those parameter values that maximize the probability are the maximum likelihood estimates of the parameters.
Computer systems or networks designed to provide radiographic interpretive information.
The systematic study of the complete DNA sequences (GENOME) of organisms.
A loose confederation of computer communication networks around the world. The networks that make up the Internet are connected through several backbone networks. The Internet grew out of the US Government ARPAnet project and was designed to facilitate information exchange.
A graphic device used in decision analysis, series of decision options are represented as branches (hierarchical).
Improvement in the quality of an x-ray image by use of an intensifying screen, tube, or filter and by optimum exposure techniques. Digital processing methods are often employed.
Combination or superimposition of two images for demonstrating differences between them (e.g., radiograph with contrast vs. one without, radionuclide images using different radionuclides, radiograph vs. radionuclide image) and in the preparation of audiovisual materials (e.g., offsetting identical images, coloring of vessels in angiograms).
Specific languages used to prepare computer programs.
Signal and data processing method that uses decomposition of wavelets to approximate, estimate, or compress signals with finite time and frequency domains. It represents a signal or data in terms of a fast decaying wavelet series from the original prototype wavelet, called the mother wavelet. This mathematical algorithm has been adopted widely in biomedical disciplines for data and signal processing in noise removal and audio/image compression (e.g., EEG and MRI).
Computer-assisted analysis and processing of problems in a particular area.
The comparison of the quantity of meaningful data to the irrelevant or incorrect data.
Use of sophisticated analysis tools to sort through, organize, examine, and combine large sets of information.
Methods for determining interaction between PROTEINS.
Models used experimentally or theoretically to study molecular shape, electronic properties, or interactions; includes analogous molecules, computer-generated graphics, and mechanical structures.
Techniques using energy such as radio frequency, infrared light, laser light, visible light, or acoustic energy to transfer information without the use of wires, over both short and long distances.
Learning algorithms which are a set of related supervised computer learning methods that analyze data and recognize patterns, and used for classification and regression analysis.
Data processing largely performed by automatic means.
Specifications and instructions applied to the software.
A multistage process that includes cloning, physical mapping, subcloning, sequencing, and information analysis of an RNA SEQUENCE.
Descriptions of specific amino acid, carbohydrate, or nucleotide sequences which have appeared in the published literature and/or are deposited in and maintained by databanks such as GENBANK, European Molecular Biology Laboratory (EMBL), National Biomedical Research Foundation (NBRF), or other sequence repositories.
Processes that incorporate some element of randomness, used particularly to refer to a time series of random variables.
The genetic complement of an organism, including all of its GENES, as represented in its DNA, or in some cases, its RNA.
Interacting DNA-encoded regulatory subsystems in the GENOME that coordinate input from activator and repressor TRANSCRIPTION FACTORS during development, cell differentiation, or in response to environmental cues. The networks function to ultimately specify expression of particular sets of GENES for specific conditions, times, or locations.
A graphic means for assessing the ability of a screening test to discriminate between healthy and diseased persons; may also be used in other studies, e.g., distinguishing stimuli responses as to a faint stimuli or nonstimuli.
Methods of creating machines and devices.
Theoretical representations that simulate the behavior or activity of chemical processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.
The study of chance processes or the relative frequency characterizing a chance process.
In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test.
Any method used for determining the location of and relative distances between genes on a chromosome.
The relationships of groups of organisms as reflected by their genetic makeup.
Non-invasive method of demonstrating internal anatomy based on the principle that atomic nuclei in a strong magnetic field absorb pulses of radiofrequency energy and emit them as radiowaves which can be reconstructed into computerized images. The concept includes proton spin tomographic techniques.
Elements of limited time intervals, contributing to particular results or situations.
The sequence of PURINES and PYRIMIDINES in nucleic acids and polynucleotides. It is also called nucleotide sequence.
A statistical analytic technique used with discrete dependent variables, concerned with separating sets of observed values and allocating new values. It is sometimes used instead of regression analysis.
Computed tomography modalities which use a cone or pyramid-shaped beam of radiation.
Tomography using x-ray transmission and a computer algorithm to reconstruct the image.
A principle of estimation in which the estimates of a set of parameters in a statistical model are those quantities minimizing the sum of squared differences between the observed values of a dependent variable and the values predicted by the model.
The study of systems which respond disproportionately (nonlinearly) to initial conditions or perturbing stimuli. Nonlinear systems may exhibit "chaos" which is classically characterized as sensitive dependence on initial conditions. Chaotic systems, while distinguished from more ordered periodic systems, are not random. When their behavior over time is appropriately displayed (in "phase space"), constraints are evident which are described by "strange attractors". Phase space representations of chaotic systems, or strange attractors, usually reveal fractal (FRACTALS) self-similarity across time scales. Natural, including biological, systems often display nonlinear dynamics and chaos.
A technique of operations research for solving certain kinds of problems involving many variables where a best value or set of best values is to be found. It is most likely to be feasible when the quantity to be optimized, sometimes called the objective function, can be stated as a mathematical expression in terms of the various activities within the system, and when this expression is simply proportional to the measure of the activities, i.e., is linear, and when all the restrictions are also linear. It is different from computer programming, although problems using linear programming techniques may be programmed on a computer.
The evaluation of incidents involving the loss of function of a device. These evaluations are used for a variety of purposes such as to determine the failure rates, the causes of failures, costs of failures, and the reliability and maintainability of devices.
The complete genetic complement contained in the DNA of a set of CHROMOSOMES in a HUMAN. The length of the human genome is about 3 billion base pairs.
The systematic study of the complete complement of proteins (PROTEOME) of organisms.
Databases containing information about NUCLEIC ACIDS such as BASE SEQUENCE; SNPS; NUCLEIC ACID CONFORMATION; and other properties. Information about the DNA fragments kept in a GENE LIBRARY or GENOMIC LIBRARY is often maintained in DNA databases.
Mathematical procedure that transforms a number of possibly correlated variables into a smaller number of uncorrelated variables called principal components.
A single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population.
The order of amino acids as they occur in a polypeptide chain. This is referred to as the primary structure of proteins. It is of fundamental importance in determining PROTEIN CONFORMATION.
A system containing any combination of computers, computer terminals, printers, audio or visual display devices, or telephones interconnected by telecommunications equipment or cables: used to transmit or receive information. (Random House Unabridged Dictionary, 2d ed)
Computer processing of a language with rules that reflect and describe current usage rather than prescribed usage.
Imaging methods that result in sharp images of objects located on a chosen plane and blurred images located above or below the plane.
The protein complement of an organism coded for by its genome.

## An effective approach for analyzing "prefinished" genomic sequence data. (1/42270)

Ongoing efforts to sequence the human genome are already generating large amounts of data, with substantial increases anticipated over the next few years. In most cases, a shotgun sequencing strategy is being used, which rapidly yields most of the primary sequence in incompletely assembled sequence contigs ("prefinished" sequence) and more slowly produces the final, completely assembled sequence ("finished" sequence). Thus, in general, prefinished sequence is produced in excess of finished sequence, and this trend is certain to continue and even accelerate over the next few years. Even at a prefinished stage, genomic sequence represents a rich source of important biological information that is of great interest to many investigators. However, analyzing such data is a challenging and daunting task, both because of its sheer volume and because it can change on a day-by-day basis. To facilitate the discovery and characterization of genes and other important elements within prefinished sequence, we have developed an analytical strategy and system that uses readily available software tools in new combinations. Implementation of this strategy for the analysis of prefinished sequence data from human chromosome 7 has demonstrated that this is a convenient, inexpensive, and extensible solution to the problem of analyzing the large amounts of preliminary data being produced by large-scale sequencing efforts. Our approach is accessible to any investigator who wishes to assimilate additional information about particular sequence data en route to developing richer annotations of a finished sequence.  (+info)

## A computational screen for methylation guide snoRNAs in yeast. (2/42270)

Small nucleolar RNAs (snoRNAs) are required for ribose 2'-O-methylation of eukaryotic ribosomal RNA. Many of the genes for this snoRNA family have remained unidentified in Saccharomyces cerevisiae, despite the availability of a complete genome sequence. Probabilistic modeling methods akin to those used in speech recognition and computational linguistics were used to computationally screen the yeast genome and identify 22 methylation guide snoRNAs, snR50 to snR71. Gene disruptions and other experimental characterization confirmed their methylation guide function. In total, 51 of the 55 ribose methylated sites in yeast ribosomal RNA were assigned to 41 different guide snoRNAs.  (+info)

## Referenceless interleaved echo-planar imaging. (3/42270)

Interleaved echo-planar imaging (EPI) is an ultrafast imaging technique important for applications that require high time resolution or short total acquisition times. Unfortunately, EPI is prone to significant ghosting artifacts, resulting primarily from system time delays that cause data matrix misregistration. In this work, it is shown mathematically and experimentally that system time delays are orientation dependent, resulting from anisotropic physical gradient delays. This analysis characterizes the behavior of time delays in oblique coordinates, and a new ghosting artifact caused by anisotropic delays is described. "Compensation blips" are proposed for time delay correction. These blips are shown to remove the effects of anisotropic gradient delays, eliminating the need for repeated reference scans and postprocessing corrections. Examples of phantom and in vivo images are shown.  (+info)

## An evaluation of elongation factor 1 alpha as a phylogenetic marker for eukaryotes. (4/42270)

Elongation factor 1 alpha (EF-1 alpha) is a highly conserved ubiquitous protein involved in translation that has been suggested to have desirable properties for phylogenetic inference. To examine the utility of EF-1 alpha as a phylogenetic marker for eukaryotes, we studied three properties of EF-1 alpha trees: congruency with other phyogenetic markers, the impact of species sampling, and the degree of substitutional saturation occurring between taxa. Our analyses indicate that the EF-1 alpha tree is congruent with some other molecular phylogenies in identifying both the deepest branches and some recent relationships in the eukaryotic line of descent. However, the topology of the intermediate portion of the EF-1 alpha tree, occupied by most of the protist lineages, differs for different phylogenetic methods, and bootstrap values for branches are low. Most problematic in this region is the failure of all phylogenetic methods to resolve the monophyly of two higher-order protistan taxa, the Ciliophora and the Alveolata. JACKMONO analyses indicated that the impact of species sampling on bootstrap support for most internal nodes of the eukaryotic EF-1 alpha tree is extreme. Furthermore, a comparison of observed versus inferred numbers of substitutions indicates that multiple overlapping substitutions have occurred, especially on the branch separating the Eukaryota from the Archaebacteria, suggesting that the rooting of the eukaryotic tree on the diplomonad lineage should be treated with caution. Overall, these results suggest that the phylogenies obtained from EF-1 alpha are congruent with other molecular phylogenies in recovering the monophyly of groups such as the Metazoa, Fungi, Magnoliophyta, and Euglenozoa. However, the interrelationships between these and other protist lineages are not well resolved. This lack of resolution may result from the combined effects of poor taxonomic sampling, relatively few informative positions, large numbers of overlapping substitutions that obscure phylogenetic signal, and lineage-specific rate increases in the EF-1 alpha data set. It is also consistent with the nearly simultaneous diversification of major eukaryotic lineages implied by the "big-bang" hypothesis of eukaryote evolution.  (+info)

## Hierarchical cluster analysis applied to workers' exposures in fiberglass insulation manufacturing. (5/42270)

The objectives of this study were to explore the application of cluster analysis to the characterization of multiple exposures in industrial hygiene practice and to compare exposure groupings based on the result from cluster analysis with that based on non-measurement-based approaches commonly used in epidemiology. Cluster analysis was performed for 37 workers simultaneously exposed to three agents (endotoxin, phenolic compounds and formaldehyde) in fiberglass insulation manufacturing. Different clustering algorithms, including complete-linkage (or farthest-neighbor), single-linkage (or nearest-neighbor), group-average and model-based clustering approaches, were used to construct the tree structures from which clusters can be formed. Differences were observed between the exposure clusters constructed by these different clustering algorithms. When contrasting the exposure classification based on tree structures with that based on non-measurement-based information, the results indicate that the exposure clusters identified from the tree structures had little in common with the classification results from either the traditional exposure zone or the work group classification approach. In terms of the defining homogeneous exposure groups or from the standpoint of health risk, some toxicological normalization in the components of the exposure vector appears to be required in order to form meaningful exposure groupings from cluster analysis. Finally, it remains important to see if the lack of correspondence between exposure groups based on epidemiological classification and measurement data is a peculiarity of the data or a more general problem in multivariate exposure analysis.  (+info)

## A new filtering algorithm for medical magnetic resonance and computer tomography images. (6/42270)

Inner views of tubular structures based on computer tomography (CT) and magnetic resonance (MR) data sets may be created by virtual endoscopy. After a preliminary segmentation procedure for selecting the organ to be represented, the virtual endoscopy is a new postprocessing technique using surface or volume rendering of the data sets. In the case of surface rendering, the segmentation is based on a grey level thresholding technique. To avoid artifacts owing to the noise created in the imaging process, and to restore spurious resolution degradations, a robust Wiener filter was applied. This filter working in Fourier space approximates the noise spectrum by a simple function that is proportional to the square root of the signal amplitude. Thus, only points with tiny amplitudes consisting mostly of noise are suppressed. Further artifacts are avoided by the correct selection of the threshold range. Afterwards, the lumen and the inner walls of the tubular structures are well represented and allow one to distinguish between harmless fluctuations and medically significant structures.  (+info)

## Efficacy of ampicillin plus ceftriaxone in treatment of experimental endocarditis due to Enterococcus faecalis strains highly resistant to aminoglycosides. (7/42270)

The purpose of this work was to evaluate the in vitro possibilities of ampicillin-ceftriaxone combinations for 10 Enterococcus faecalis strains with high-level resistance to aminoglycosides (HLRAg) and to assess the efficacy of ampicillin plus ceftriaxone, both administered with humanlike pharmacokinetics, for the treatment of experimental endocarditis due to HLRAg E. faecalis. A reduction of 1 to 4 dilutions in MICs of ampicillin was obtained when ampicillin was combined with a fixed subinhibitory ceftriaxone concentration of 4 micrograms/ml. This potentiating effect was also observed by the double disk method with all 10 strains. Time-kill studies performed with 1 and 2 micrograms of ampicillin alone per ml or in combination with 5, 10, 20, 40, and 60 micrograms of ceftriaxone per ml showed a > or = 2 log10 reduction in CFU per milliliter with respect to ampicillin alone and to the initial inoculum for all 10 E. faecalis strains studied. This effect was obtained for seven strains with the combination of 2 micrograms of ampicillin per ml plus 10 micrograms of ceftriaxone per ml and for six strains with 5 micrograms of ceftriaxone per ml. Animals with catheter-induced endocarditis were infected intravenously with 10(8) CFU of E. faecalis V48 or 10(5) CFU of E. faecalis V45 and were treated for 3 days with humanlike pharmacokinetics of 2 g of ampicillin every 4 h, alone or combined with 2 g of ceftriaxone every 12 h. The levels in serum and the pharmacokinetic parameters of the humanlike pharmacokinetics of ampicillin or ceftriaxone in rabbits were similar to those found in humans treated with 2 g of ampicillin or ceftriaxone intravenously. Results of the therapy for experimental endocarditis caused by E. faecalis V48 or V45 showed that the residual bacterial titers in aortic valve vegetations were significantly lower in the animals treated with the combinations of ampicillin plus ceftriaxone than in those treated with ampicillin alone (P < 0.001). The combination of ampicillin and ceftriaxone showed in vitro and in vivo synergism against HLRAg E. faecalis.  (+info)

## The muscle chloride channel ClC-1 has a double-barreled appearance that is differentially affected in dominant and recessive myotonia. (8/42270)

Single-channel recordings of the currents mediated by the muscle Cl- channel, ClC-1, expressed in Xenopus oocytes, provide the first direct evidence that this channel has two equidistant open conductance levels like the Torpedo ClC-0 prototype. As for the case of ClC-0, the probabilities and dwell times of the closed and conducting states are consistent with the presence of two independently gated pathways with approximately 1.2 pS conductance enabled in parallel via a common gate. However, the voltage dependence of the common gate is different and the kinetics are much faster than for ClC-0. Estimates of single-channel parameters from the analysis of macroscopic current fluctuations agree with those from single-channel recordings. Fluctuation analysis was used to characterize changes in the apparent double-gate behavior of the ClC-1 mutations I290M and I556N causing, respectively, a dominant and a recessive form of myotonia. We find that both mutations reduce about equally the open probability of single protopores and that mutation I290M yields a stronger reduction of the common gate open probability than mutation I556N. Our results suggest that the mammalian ClC-homologues have the same structure and mechanism proposed for the Torpedo channel ClC-0. Differential effects on the two gates that appear to modulate the activation of ClC-1 channels may be important determinants for the different patterns of inheritance of dominant and recessive ClC-1 mutations.  (+info)

TY - GEN. T1 - A proposal of «neuron mask» in neural network algorithm for combinatorial optimization problems. AU - Takenaka, Y.. AU - Funabiki, N.. AU - Nishikawa, S.. PY - 1997/12/1. Y1 - 1997/12/1. N2 - A constraint resolution scheme of the Hopfield neural network named «neuron mask» is presented for a class of combinatorial optimization problems. Neuron mask always satisfies constraints of selecting a solution candidate from each group so as to force the state of the neural network into a solution space. This paper presents the definition of neuron mask and the introduction into the neural network through the N-queens problem. The performance is verified by simulations on three computation modes, where neuron mask improves the performance of the neural network.. AB - A constraint resolution scheme of the Hopfield neural network named «neuron mask» is presented for a class of combinatorial optimization problems. Neuron mask always satisfies constraints of selecting a solution candidate ...
This is the eleventh post in an article series about MITs lecture course Introduction to Algorithms. In this post I will review lecture sixteen, which introduces the concept of Greedy Algorithms, reviews Graphs and applies the greedy Prims Algorithm to the Minimum Spanning Tree (MST) Problem.. The previous lecture introduced dynamic programming. Dynamic programming was used for finding solutions to optimization problems. In such problems there can be many possible solutions. Each solution has a value, and we want to find a solution with the optimal (minimum or maximum) value. Greedy algorithms are another set of methods for finding optimal solution. A greedy algorithm always makes the choice that looks best at the moment. That is, it makes a locally optimal choice in the hope that this choice will lead to a globally optimal solution. Greedy algorithms do not always yield optimal solutions, but for many problems they do. In this lecture it is shown that a greedy algorithm gives an optimal ...
The graph coloring problem is a practical method of representing many real world problems including time scheduling, frequency assignment, register allocation etc. Finding the minimum number of colors for an arbitrary graph is NP-hard. This paper applies Decision Fusion on combinatorial optimization algorithms (genetic algorithm (GA), simulated annealing algorithm (SA)) and sequential/greedy algorithms (highest order algorithm (HO) and the sequential algorithm (SQ)) to find an optimal solution for the graph coloring problem. Giving importance to the factors such as the time of execution and availability of processing resources, a new technique is introduced where selection of the algorithm yielding the optimal solution is made. Decision fusion rules facilitate the predictions on the future of the executing algorithms based on the so far performance at any given point when the problem is solved. The results support that prediction during solving the problem is an efficient way, than the algorithms
Feature selection is a useful tool for identifying which features, or attributes, of a dataset cause or explain the phenomena that the dataset describes, and improving the efficiency and accuracy of learning algorithms for discovering such phenomena. Consequently, feature selection has been studied intensively in machine learning research. However, while feature selection algorithms that exhibit excellent accuracy have been developed, they are seldom used for analysis of high-dimensional data because high-dimensional data usually include too many instances and features, which make traditional feature selection algorithms inefficient. To eliminate this limitation, we tried to improve the run-time performance of two of the most accurate feature selection algorithms known in the literature. The result is two accurate and fast algorithms, namely sCwc and sLcc. Multiple experiments with real social media datasets have demonstrated that our algorithms improve the performance of their original algorithms
TAMU01A23 TAMU01A24 TAMU01B19 TAMU01B24 TAMU01C24 TAMU01D14 TAMU01D17 TAMU01G19 TAMU01K11 TAMU01K23 TAMU01L14 TAMU01M08 TAMU02A06 TAMU02A09 TAMU02B04 TAMU02C12 TAMU02C19 TAMU02D13 TAMU02D21 TAMU02G01 TAMU02K03 TAMU02L21 TAMU02M17 TAMU02M19 TAMU02N13 TAMU02N19 TAMU02P07 TAMU03A01 TAMU03A07 TAMU03B06 TAMU03D01 TAMU03D04 TAMU03D14 TAMU03E08 TAMU03E24 TAMU03F15 TAMU03G12 TAMU03I06 TAMU03I10 TAMU03I19 TAMU03K15 TAMU03K24 TAMU03L11 TAMU03M07 TAMU03M08 TAMU03M12 TAMU03N18 TAMU03N20 TAMU03N24 TAMU03P22 TAMU04A20 TAMU04C13 TAMU04E12 TAMU04E18 TAMU04F06 TAMU04F17 TAMU04G01 TAMU04G23 TAMU04G24 TAMU04H24 TAMU04I08 TAMU04J06 TAMU04M09 TAMU04M16 TAMU04N08 TAMU04N11 TAMU04O11 TAMU04O15 TAMU04O20 TAMU04P09 TAMU05A16 TAMU05C18 TAMU05C21 TAMU05D19 TAMU05E07 TAMU05F04 TAMU05F05 TAMU05F08 TAMU05G19 TAMU05G21 TAMU05H08 TAMU05L01 TAMU05L24 TAMU05M02 TAMU05N06 TAMU05N19 TAMU05N24 TAMU05O02 TAMU05O12 TAMU05O19 TAMU05O21 TAMU06D16 TAMU06K02 TAMU06K13 TAMU06K19 TAMU06L04 TAMU06L07 TAMU06L10 TAMU06M20 TAMU06P06 TAMU06P12 ...
Analysis of genomes evolving by inversions leads to a general combinatorial problem of Sorting by Reversals , MIN-SBR, the problem of sorting a permutation by a minimum number of reversals. Following a series of preliminary results, Hannenhalli and Pevzner developed the first exact polynomial time algorithm for the problem of sorting signed permutations by reversals, and a polynomial time algorithm for a special case of unsigned permutations. The best known approximation algorithm for MIN-SBR, due to Christie, gives a performance ratio of 1.5. In this paper, by exploiting the polynomial time algorithm for sorting signed permutations and by developing a new approximation algorithm for maximum cycle decomposition of breakpoint graphs, we design a new 1.375-algorithm for the MIN-SBR problem.. ...
Reverse engineering of gene regulatory networks using information theory models has received much attention due to its simplicity, low computational cost, and capability of inferring large networks. One of the major problems with information theory models is to determine the threshold that defines the regulatory relationships between genes. The minimum description length (MDL) principle has been implemented to overcome this problem. The description length of the MDL principle is the sum of model length and data encoding length. A user-specified fine tuning parameter is used as control mechanism between model and data encoding, but it is difficult to find the optimal parameter. In this work, we propose a new inference algorithm that incorporates mutual information (MI), conditional mutual information (CMI), and predictive minimum description length (PMDL) principle to infer gene regulatory networks from DNA microarray data. In this algorithm, the information theoretic quantities MI and CMI determine the
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Multiple, often conflicting objectives arise naturally in most real-world optimization scenarios. As evolutionary algorithms possess several characteristics due to which they are well suited to this type of problem, evolution-based methods have been used for multiobjective optimization for more than a decade. Meanwhile evolutionary multiobjective optimization has become established as a separate subdiscipline combining the fields of evolutionary computation and classical multiple criteria decision making. In this paper, the basic principles of evolutionary multiobjective optimization are discussed from an algorithm design perspective. The focus is on the major issues such as fitness assignment, diversity preservation, and elitism in general rather than on particular algorithms. Different techniques to implement these strongly related concepts will be discussed, and further important aspects such as constraint handling and
Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especially the binding sites in deoxyribonucleic acid (DNA) for transcription factors. These binding sites are short DNA segments that are called motifs. Recent advances in genome sequence availability and in high-throughput gene expression analysis technologies have allowed for the development of computational methods for motif finding. As a result, a large number of motif finding algorithms have been implemented and applied to various motif models over the past decade. This survey reviews the latest developments in DNA motif finding algorithms. Earlier algorithms use promoter sequences of coregulated genes from single genome and search for statistically overrepresented motifs. Recent algorithms are designed to use phylogenetic footprinting or orthologous sequences and also an integrated approach where promoter sequences of coregulated genes
Efficient Risk Profiling Using Bayesian Networks and Particle Swarm Optimization Algorithm: 10.4018/978-1-4666-9458-3.ch004: Chapter introduce usage of particle swarm optimization algorithm and explained methodology, as a tool for discovering customer profiles based on previously
Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models: 10.4018/978-1-5225-0788-8.ch033: This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles based on a previously developed
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This volume emphasises on theoretical results and algorithms of combinatorial optimization with provably good performance, in contrast to heuristics. It documents the relevant knowledge on combinatorial optimization and records those problems and algorithms of this discipline.Korte, Bernhard is the author of Combinatorial Optimization Theory and Algorithms, published 2005 under ISBN 9783540256847 and ISBN 3540256849. [read more] ...
DNA computing is a new computing paradigm which uses bio-molecular as information storage media and biochemical tools as information processing operators. It has shows many successful and promising results for various applications. Since DNA reactions are probabilistic reactions, it can cause the different results for the same situations, which can be regarded as errors in the computation. To overcome the drawbacks, much works have focused to design the error-minimized DNA sequences to improve the reliability of DNA computing. In this research, Population-based Ant Colony Optimization (P-ACO) is proposed to solve the DNA sequence optimization. PACO approach is a meta-heuristic algorithm that uses some ants to obtain the solutions based on the pheromone in their colony. The DNA sequence design problem is modelled by four nodes, representing four DNA bases (A, T, C, and G). The results from the proposed algorithm are compared with other sequence design methods, which are Genetic Algorithm (GA), ...
In machine learning, weighted majority algorithm (WMA) is a meta learning algorithm used to construct a compound algorithm from a pool of prediction algorithms, which could be any type of learning algorithms, classifiers, or even real human experts.[1][2] The algorithm assumes that we have no prior knowledge about the accuracy of the algorithms in the pool, but there are sufficient reasons to believe that one or more will perform well. Assume that the problem is a binary decision problem. To construct the compound algorithm, a positive weight is given to each of the algorithms in the pool. The compound algorithm then collects weighted votes from all the algorithms in the pool, and gives the prediction that has a higher vote. If the compound algorithm makes a mistake, the algorithms in the pool that contributed to the wrong predicting will be discounted by a certain ratio β where 0,β,1. It can be shown that the upper bounds on the number of mistakes made in a given sequence of predictions from ...
In mathematics, the greedy algorithm for Egyptian fractions is a greedy algorithm, first described by Fibonacci, for transforming rational numbers into Egyptian fractions. An Egyptian fraction is a representation of an irreducible fraction as a sum of distinct unit fractions, as e.g. 5/6 = 1/2 + 1/3. As the name indicates, these representations have been used as long ago as ancient Egypt, but the first published systematic method for constructing such expansions is described in the Liber Abaci (1202) of Leonardo of Pisa (Fibonacci). It is called a greedy algorithm because at each step the algorithm chooses greedily the largest possible unit fraction that can be used in any representation of the remaining fraction. Fibonacci actually lists several different methods for constructing Egyptian fraction representations (Sigler 2002, chapter II.7). He includes the greedy method as a last resort for situations when several simpler methods fail; see Egyptian fraction for a more detailed listing of these ...
TY - JOUR. T1 - A Parallel Algorithm for Allocation of Spare Cells on Memory Chips. AU - Funabiki, Nobuo. AU - Takefuji, Yoshiyasu. PY - 1991/8. Y1 - 1991/8. N2 - In manufacturing memory chips, Redundant Random Access Memory (RRAM) technology has been widely used because it not only provides repair of faulty cells but also enhances the production yield. RRAM has several rows and columns of spare memory cells which are used to replace the faulty cells. The goal of our algorithm is to find a spare allocation which repairs all the faulty cells in the given faulty-cell map. The parallel algorithm requires In processing elements for the n x n faulty-cell map problem. The algorithm is verified by many simulation runs. Under the simulation the algorithm finds one of the near-optimum solutions in a nearly constant time with 0(n) processors. The simulation results show the consistency of our algorithm. The algorithm can be easily extended for solving rectangular or other shapes of fault map problems. ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Sudoku puzzles are an excellent testbed for evolutionary algorithms. The puzzles are accessible enough to be enjoyed by people. However the more complex puzzles require thousands of iterations before a solution is found by an evolutionary algorithm. If we were attempting to compare evolutionary algorithms we could count their iterations to solution as a indicator of relative efficiency. However all evolutionary algorithms include a process of random mutation for solution candidates. I will show that by improving the random mutation behaviours I was able to solve problems with minimal evolutionary optimisation. Experiments demonstrated the random mutation was at times more effective at solving the harder problems than the evolutionary algorithms. This implies that the quality of random mutation may have a significant impact on the performance of evolutionary algorithms with sudoku puzzles. Additionally this random mutation may
A simple learning algorithm for Hidden Markov Models (HMMs) is presented together with a number of variations. Unlike other classical algorithms such as the Baum-Welch algorithm, the algorithms described are smooth and can be used on-line (after each example presentation) or in batch mode, with or without the usual Viterbi most likely path approximation. The algorithms have simple expressions that result from using a normalized-exponential representation for the HMM parameters. All the algorithms presented are proved to be exact or approximate gradient optimization algorithms with respect to likelihood, log-likelihood, or cross-entropy functions, and as such are usually convergent. These algorithms can also be casted in the more general EM (Expectation-Maximization) framework where they can be viewed as exact or approximate GEM (Generalized Expectation-Maximization) algorithms. The mathematical properties of the algorithms are derived in the appendix.. ...
TY - JOUR. T1 - Multiobjective process planning and scheduling using improved vector evaluated genetic algorithm with archive. AU - Zhang, Wenqiang. AU - Fujimura, Shigeru. PY - 2012/5. Y1 - 2012/5. N2 - Multiobjective process planning and scheduling (PPS) is a most important practical but very intractable combinatorial optimization problem in manufacturing systems. Many researchers have used multiobjective evolutionary algorithms (moEAs) to solve such problems; however, these approaches could not achieve satisfactory results in both efficacy (quality, i.e., convergence and distribution) and efficiency (speed). As classical moEAs, nondominated sorting genetic algorithm II (NSGA-II) and SPEA2 can get good efficacy but need much CPU time. Vector evaluated genetic algorithm (VEGA) also cannot be applied owing to its poor efficacy. This paper proposes an improved VEGA with archive (iVEGA-A) to deal with multiobjective PPS problems, with consideration being given to the minimization of both makespan ...
In this thesis we focus on subexponential algorithms for NP-hard graph problems: exact and parameterized algorithms that have a truly subexponential running time behavior. For input instances of size n we study exact algorithms with running time 2O(√n) and parameterized algorithms with running time 2O(√k) ·nO(1) with parameter k, respectively. We study a class of problems for which we design such algorithms for three different types of graph classes: planar graphs, graphs of bounded genus, and H-minor-free graphs. We distinguish between unconnected and connected problems, and discuss how to conceive parameterized and exact algorithms for such problems. We improve upon existing dynamic programming techniques used in algorithms solving those problems. We compare tree-decomposition and branch-decomposition based dynamic programming algorithms and show how to unify both algorithms to one single algorithm. Then we give a dynamic programming technique that reduces much of the computation involved ...
The discovery of single-nucleotide polymorphisms (SNPs) has important implications in a variety of genetic studies on human diseases and biological functions. One valuable approach proposed for SNP discovery is based on base-specific cleavage and mass spectrometry. However, it is still very challenging to achieve the full potential of this SNP discovery approach. In this study, we formulate two new combinatorial optimization problems. While both problems are aimed at reconstructing the sample sequence that would attain the minimum number of SNPs, they search over different candidate sequence spaces. The first problem, denoted as , limits its search to sequences whose in silico predicted mass spectra have all their signals contained in the measured mass spectra. In contrast, the second problem, denoted as
The phase retrieval problem is of paramount importance in various areas of applied physics and engineering. The state of the art for solving this problem in two dimensions relies heavily on the pioneering work of Gerchberg, Saxton, and Fienup. Despite the widespread use of the algorithms proposed by these three researchers, current mathematical theory cannot explain their remarkable success. Nevertheless, great insight can be gained into the behavior, the shortcomings, and the performance of these algorithms from their possible counterparts in convex optimization theory. An important step in this direction was made two decades ago when the error reduction algorithm was identified as a nonconvex alternating projection algorithm. Our purpose is to formulate the phase retrieval problem with mathematical care and to establish new connections between well-established numerical phase retrieval schemes and classical convex optimization methods. Specifically, it is shown that Fienups basic input-output ...
Evolutionary algorithms are general purpose optimizers because they do not require any assumptions about the landscape of the fitness function. They are used in a wide range of problems in diverse fields and have proven to be a highly effective numerical analysis method. However, in the last decade, research on evolutionary algorithms has fallen off sharply[Citation Needed], and they have not lived up to their initial promise. Although they are a reasonable search technique in a wide variety of problems, they are not the best search technique in almost any field. Algorithms such as simulated annealing, and fast integer programming solvers have largely superseded evolutionary algorithms in modern use. Evolutionary algorithms can be seen as an experimental test of Darwins theory of evolution, and their eventual failure can be seen as a refutation of that theory[Citation Needed]. ...
Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thus far has been largely subjective, leaving a system designer to judge the effectiveness of a technique based only on intuition and results in the form of a few example segmented images. This is largely due to image segmentation being an ill-defined problem-there is no unique ground-truth segmentation of an image against which the output of an algorithm may be compared. This paper demonstrates how a recently proposed measure of similarity, the normalized probabilistic rand (NPR) index, can be used to perform a quantitative comparison between image segmentation algorithms using a hand-labeled set of ground-truth segmentations. We show that the measure allows principled comparisons between segmentations created by different algorithms, as well as segmentations on different images. We outline a procedure for algorithm ...
Course Description: In this course students will learn about parallel algorithms. The emphasis will be on algorithms that can be used on shared-memory parallel machines such as multicore architectures. The course will include both a theoretical component and a programming component. Topics to be covered include: modeling the cost of parallel algorithms, lower-bounds, and parallel algorithms for sorting, graphs, computational geometry, and string operations. The programming language component will include data-parallelism, threads, futures, scheduling, synchronization types, transactional memory, and message passing. Course Requirements: There will be bi-weekly assignments, two exams (midterm and final), and a final project. Each student will be required to scribe one lecture. Your grade will be partitioned into: 10% scribe notes, 40% assignments, 20% project, 15% midterm, 15% final. Policies: For homeworks, unless stated otherwise, you can look up material on the web and books, but you cannot ...
The article presents a general view of a class of decomposition algorithms for training Support Vector Machines (SVM) which are motivated by the method of feasible directions. The first such algorithm for the pattern recognition SVM has been proposed by Joachims in 1999. Its extension to the regression SVM – the maximal inconsistency algorithm – has been recently presented by the author. A detailed account of both algorithms is carried out, complemented by theoretical investigation of the relationship between the two algorithms. It is proved that the two algorithms are equivalent for the pattern recognition SVM, and the feasible direction interpretation of the maximal inconsistency algorithm is given for the regression SVM. The experimental results demonstrate an order of magnitude decrease of training time in comparison with training without decomposition, and, most importantly, provide experimental evidence of the linear
Downloadable (with restrictions)! This paper introduces a second-order differentiability smoothing technique to the classical l 1 exact penalty function for constrained optimization problems(COP). Error estimations among the optimal objective values of the nonsmooth penalty problem, the smoothed penalty problem and the original optimization problem are obtained. Based on the smoothed problem, an algorithm for solving COP is proposed and some preliminary numerical results indicate that the algorithm is quite promising. Copyright Springer Science+Business Media, LLC 2013
The Parallel Algorithms Project conducts a dedicated research to address the solution of problems in applied mathematics by proposing advanced numerical algorithms to be used on massively parallel computing platforms. The Parallel Algorithms Project is especially considering problems known to be out of reach of standard current numerical methods due to, e.g., the large-scale nature or the nonlinearity of the problem, the stochastic nature of the data, or the practical constraint to obtain reliable numerical results in a limited amount of computing time. This research is mostly performed in collaboration with other teams at CERFACS and the shareholders of CERFACS as outlined in this report.. This research roadmap is known to be quite ambitious and we note that the major research topics have evolved over the past years. The main current focus concerns both the design of algorithms for the solution of sparse linear systems coming from the discretization of partial differential equations and the ...
A global optimization approach for the factor analysis of wireline logging data sets is presented. Oilfield well logs are processed together to give an estimate to factor logs by using an adaptive genetic algorithm. Nonlinear relations between the first factor and essential petrophysical parameters of shaly-sand reservoirs are revealed, which are used to predict the values of shale volume and permeability directly from the factor scores. Independent values of the relevant petrophysical properties are given by inverse modeling and well-known deterministic methods. Case studies including the evaluation of hydrocarbon formations demonstrate the feasibility of the improved algorithm of factor analysis. Comparative numerical analysis made between the genetic algorithm-based factor analysis procedure and the independent well log analsis methods shows consistent results. By factor analysis, an independent in-situ estimate to shale content and permeability is given, which may improve the reservoir model and
This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential techniques to solving such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from Evolutionary Programming (EP) technique in the attempt to highlight its merit.. ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper, we present a new strongly polynomial time algorithm for the minimum cost flow problem, based on a refinement of the Edmonds-Karp scaling technique. Our algorithm solves the uncapacitated minimum cost flow problem as a sequence of O(n log n) shortest path problems on networks with n nodes and m arcs and runs in O(n log n (m + n log n)) time. Using a standard transformation, thjis approach yields an O(m log n (m + n log n)) algorithm for the capacitated minimum cost flow problem. This algorithm improves the best previous strongly polynomial time algorithm, due to Z. Galil and E. Tardos, by a factor of n 2 /m. Our algorithm for the capacitated minimum cost flow problem is even more efficient if the number of arcs with finite upper bounds, say n, is much less than m. In this case, the running time of the algorithm is O((m + n)log n(m + n log n)).
A multiscale design and multiobjective optimization procedure is developed to design a new type of graded cellular hip implant. We assume that the prosthesis design domain is occupied by a unit cell representing the building block of the implant. An optimization strategy seeks the best geometric parameters of the unit cell to minimize bone resorption and interface failure, two conflicting objective functions. Using the asymptotic homogenization method, the microstructure of the implant is replaced by a homogeneous medium with an effective constitutive tensor. This tensor is used to construct the stiffness matrix for the finite element modeling (FEM) solver that calculates the value of each objective function at each iteration. As an example, a 2D finite element model of a left implanted femur is developed. The relative density of the lattice material is the variable of the multiobjective optimization, which is solved through the non-dominated sorting genetic algorithm II (NSGA-II). The set of ...

However, there is no reason that you should be limited to one algorithm in your solutions. Experienced analysts will sometimes use one algorithm to determine the most effective inputs (that is, variables), and then apply a different algorithm to predict a specific outcome based on that data. SQL Server data mining lets you build multiple models on a single mining structure, so within a single data mining solution you might use a clustering algorithm, a decision trees model, and a naïve Bayes model to get different views on your data. You might also use multiple algorithms within a single solution to perform separate tasks: for example, you could use regression to obtain financial forecasts, and use a neural network algorithm to perform an analysis of factors that influence sales.. ...
We propose a general purpose variational inference algorithm that forms a natural counterpart of gradient descent for optimization. Our method iteratively transports a set of particles to match the target distribution, by applying a form of functional gradient descent that minimizes the KL divergence. Empirical studies are performed on various real world models and datasets, on which our method is competitive with existing state-of-the-art methods. The derivation of our method is based on a new theoretical result that connects the derivative of KL divergence under smooth transforms with Steins identity and a recently proposed kernelized Stein discrepancy, which is of independent interest. |P /|
In this paper, we consider the problem of blindly calibrating a mobile sensor network-i.e., determining the gain and the offset of each sensor-from heterogeneous observations on a defined spatial area over time. For that purpose, we previously proposed a blind sensor calibration method based on Weighted Informed Nonnegative Matrix Factorization with missing entries. It required a minimum number of rendezvous-i.e., data sensed by different sensors at almost the same time and place-which might be difficult to satisfy in practice. In this paper we relax the rendezvous requirement by using a sparse decomposition of the signal of interest with respect to a known dictionary. The calibration can thus be performed if sensors share some common support in the dictionary, and provides a consistent performance even if no sensors are in exact rendezvous.
Follicular patterned lesions of the thyroid are problematic and interpretation is often subjective. While thyroid experts are comfortable with their own criteria and thresholds, those encountering these lesions sporadically have a degree of uncertainty with a proportion of cases. The purpose of this review is to highlight the importance of proper diligent sampling of an encapsulated thyroid lesion (in totality in many cases), examination for capsular and vascular invasion, and finally the assessment of nuclear changes that are pathognomonic of papillary thyroid carcinoma (PTC). Based on these established criteria, an algorithmic approach is suggested using known, accepted terminology. The importance of unequivocal, clear-cut nuclear features of PTC as opposed to inconclusive features is stressed. If the nuclear features in an encapsulated, non-invasive follicular patterned lesion fall short of those encountered in classical PTC, but nonetheless are still worrying or concerning, the term ...
View published article Trauma to Lisfrancs Joint, An Algorithmic Approach, published in Lower Extremity Review by Amol Saxena DPM, Palo Alto, CA. Dr Saxena specializes in sports medicine and surgery of the foot and ankle.
We study the problem of finding the cycle of minimum cost-to-time ratio in a directed graph with n nodes and m edges. This problem has a long history in combinatorial optimization and has recently seen interesting applications in the context of quantitative verification. We focus on strongly polynomial algorithms to cover the use-case where the weights are relatively large compared to the size of the graph. Our main result is an algorithm with running time ~O(m^{3/4} n^{3/2}), which gives the first improvement over Megiddos ~O(n^3) algorithm [JACM83] for sparse graphs (We use the notation ~O(.) to hide factors that are polylogarithmic in n.) We further demonstrate how to obtain both an algorithm with running time n^3/2^{Omega(sqrt(log n)} on general graphs and an algorithm with running time ~O(n) on constant treewidth graphs. To obtain our main result, we develop a parallel algorithm for negative cycle detection and single-source shortest paths that might be of independent interest ...
Algorithm portfolios are known to offer robust performances, efficiently overcoming the weakness of every single algorithm on some particular problem instances. Two complementary approaches to get the best out of an algorithm portfolio is to achieve algorithm selection (AS), and to define a scheduler, sequentially launching a few algorithms on a limited computational budget each. The presented Algorithm Selector And Prescheduler system relies on the joint optimization of a pre-scheduler and a per instance AS, selecting an algorithm well-suited to the problem instance at hand. ASAP has been thoroughly evaluated against the state-of-the-art during the ICON challenge for algorithm selection, receiving an honourable mention. Its evaluation on several combinatorial optimization benchmarks exposes surprisingly good results of the simple heuristics used; some extensions thereof are presented and discussed in the paper.
Basic concepts. Definition and specification of algorithms. Computational complexity and asymptotic estimates of running time. Sorting algorithms and divide and conquer algorithms. Graphs and networks. Basic graph theory definitions. Algorithms for the reachability problem in a graph. Spanning trees. Algorithms for finding a minimum-cost spanning tree in a graph. Shortest paths. Algorithms for finding one or more shortest paths in graph with nonnegative arc or general arc lengths but not negative length circuits. Network flow algorithms. Flows in capacitated networks, algorithms to find the maximum flow in a network and max-flow min-cut theorems. Matchings. Weighted and unweighted matchings in bipartite graphs, algorithms to find a maximum weight/cardinality matching, the Koenig-Egervary theorem and its relationship with the vertex cover problem. Computational complexity theory. The P and NP classes. Polynomial reductions. NP-completeness and NP-hardness. Exponential-time algorithms. Implicit ...
Current face recognition algorithms use hand-crafted features or extract features by deep learning. This paper presents a face recognition algorithm based on improved deep networks that can automatically extract the discriminative features of the target more accurately. Firstly,this algorithm uses ZCA( Zero-mean Component Analysis) whitening to preprocess the input images in order to reduce the correlation between features and the complexity of the training networks.Then,it organically combines convolution,pooling and stacked sparse autoencoder to get a deep network feature extractor.The convolution kernels are achieved through a separate unsupervised learning model. The improved deep networks get an automatic deep feature extractor through preliminary training and fine-tuning. Finally,the softmax regression model is used to classify the extracted features. This algorithm is tested on several commonly used face databases. It is indicated that the performance is better than the traditional methods and
In the paper we present some guidelines for the application of nonparametric statistical tests and post-hoc procedures devised to perform multiple comparisons of machine learning algorithms. We emphasize that it is necessary to distinguish between pairwise and multiple comparison tests. We show that the pairwise Wilcoxon test, when employed to multiple comparisons, will lead to overoptimistic conclusions. We carry out intensive normality examination employing ten different tests showing that the output of machine learning algorithms for regression problems does not satisfy normality requirements. We conduct experiments on nonparametric statistical tests and post-hoc procedures designed for multiple 1 × N and N × N comparisons with six different neural regression algorithms over 29 benchmark regression data sets. Our investigation proves the usefulness and strength of multiple comparison statistical procedures to analyse and select machine learning algorithms ...
This paper describes a parallel genetic algorithm developed for the solution of the set partitioning problem- a difficult combinatorial optimization problem used by many airlines as a mathematical model for flight crew scheduling. The genetic algorithm is based on an island model where multiple independent subpopulations each run a steady-state genetic algorithm on their own subpopulation and occasionally fit strings migrate between the subpopulations. Tests on forty real-world set partitioning problems were carried out on up to 128 nodes of an IBM SP1 parallel computer. We found that performance, as measured by the quality of the solution found and the iteration on which it was found, improved as additional subpopulations were added to the computation. With larger numbers of subpopulations the genetic algorithm was regularly able to find the optimal solution to problems having up to a few thousand integer variables. In two cases, high- quality integer feasible solutions were found for problems with 36,
This paper focuses on the iterative parameter estimation algorithms for dual-frequency signal models that are disturbed by stochastic noise. The key of the work is to overcome the difficulty that the signal model is a highly nonlinear function with respect to frequencies. A gradient-based iterative (GI) algorithm is presented based on the gradient search. In order to improve the estimation accuracy of the GI algorithm, a Newton iterative algorithm and a moving data window gradient-based iterative algorithm are proposed based on the moving data window technique. Comparative simulation results are provided to illustrate the effectiveness of the proposed approaches for estimating the parameters of signal models.
Improving the Performance of the RISE Algorithm - Ideally, a multi-strategy learning algorithm performs better than its component approaches. RISE is a multi-strategy algorithm that combines rule induction and instance-based learning. It achieves higher accuracy than some state-of-the-art learning algorithms, but for large data sets it has a very high average running time. This work presents the analysis and experimental evaluation of SUNRISE, a new multi-strategy learning algorithm based on RISE. The SUNRISE algorithm was developed to be faster than RISE with similar accuracy. Comparing the results of the experimental evaluation of the two algorithms, it could be verified that the new algorithm achieves comparable accuracy to that of the RISE algorithm but in a lower average running time.
Students' alternative algorithms are often just as correct, efficient, and generalizable as the standard algorithms, and ... In elementary arithmetic, a standard algorithm or method is a specific method of computation which is conventionally taught for ... something that is usually lost in the memorization of standard algorithms). The development of sophisticated calculators has ...
For n ≥ 2 observations DeWit/USNO Nautical Almanac/Compac Data, Least squares algorithm for n LOPs Kaplan algorithm, USNO. For ... The navigational algorithms are the quintessence of the executable software on portable calculators or PDA as an aid to the art ... Algorithm implementation: For n = 2 observations An analytical solution of the two star sight problem of celestial navigation, ... Calculators (and the like) do not need books (they have tables and ephemeris integrated) and, with their own algorithms, allow ...
Journals with similar scope include: ACM Transactions on Algorithms Algorithmica Journal of Algorithms (Elsevier) Iwama, Kazuo ... Algorithms is a monthly peer-reviewed open-access scientific journal of mathematics, covering design, analysis, and experiments ... "Source details: Algorithms". Scopus preview. Elsevier. Retrieved 30 July 2018. "Serials Database". Zentralblatt MATH. Springer ... 2008), "Editor's Foreword", Algorithms, 1 (1): 1, doi:10.3390/a1010001. "CAS Source Index". Chemical Abstracts Service. ...
For instance, all XDAIS compliant algorithms must implement an Algorithm Interface, called IALG. For those algorithms utilizing ... XDAIS or eXpressDsp Algorithm Interoperability Standard is a standard for algorithm development by Texas Instruments for the ... Problems are often caused in algorithm by hard-coding access to system resources that are used by other algorithms. XDAIS ... The XDAIS standard address the issues of algorithm resource allocation and consumption on a DSP. Algorithms that comply with ...
... is a book by Thomas H. Cormen about the basic principles and applications of computer algorithms. The book ... "Algorithms Unlocked". MIT Press. Retrieved April 30, 2015. MIT Press: Algorithms Unlocked v t e (2013 non-fiction books, ... consists of ten chapters, and deals with the topics of searching, sorting, basic graph algorithms, string processing, the ...
There is a concept of algorithm certification emerging as a method of regulating algorithms. Algorithm certification involves ... One of those sellers used an algorithm which essentially matched its rival's price. That rival had an algorithm which always ... The motivation for regulation of algorithms is the apprehension of losing control over the algorithms, whose impact on human ... algorithms assigning exam grades to students in the UK sparked open protest under the banner "Fuck the algorithm." This protest ...
A much simpler algorithm was developed by Chan in 1996, and is called Chan's algorithm. Known convex hull algorithms are listed ... Such algorithms are called output-sensitive algorithms. They may be asymptotically more efficient than Θ(n log n) algorithms in ... This algorithm is also applicable to the three dimensional case. Monotone chain, a.k.a. Andrew's algorithm- O(n log n) ... A number of algorithms are known for the three-dimensional case, as well as for arbitrary dimensions. Chan's algorithm is used ...
... : Linkages, Origami, Polyhedra is a monograph on the mathematics and computational geometry of ... Carbno, Collin (May 2009), "Review of Geometric Folding Algorithms", MAA Reviews, Mathematical Association of America Paquete, ... web site for Geometric Folding Algorithms including contents, errata, and advances on open problems (AC with 0 elements, ... "Review of Geometric Folding Algorithms", EMS Reviews, European Mathematical Society Fasy, Brittany Terese; Millman, David L. ( ...
These constructions are based on recursive algorithms. Kleitman and Wang gave these algorithms in 1973. The algorithm is based ... The Kleitman-Wang algorithms are two different algorithms in graph theory solving the digraph realization problem, i.e. the ... The algorithm is based on the following theorem. Let S = ( ( a 1 , b 1 ) , … , ( a n , b n ) ) {\displaystyle S=((a_{1},b_{1 ... In each step of the algorithm one constructs the arcs of a digraph with vertices v 1 , … , v n {\displaystyle v_{1},\dots ,v_{n ...
Algorithm Maekawa's Algorithm Raymond's Algorithm Ricart-Agrawala Algorithm Snapshot algorithm: record a consistent global ... algorithms for the constraint satisfaction AC-3 algorithm Difference map algorithm Min conflicts algorithm Chaff algorithm: an ... Xiaolin Wu's line algorithm: algorithm for line antialiasing. Midpoint circle algorithm: an algorithm used to determine the ... 1 algorithm Pollard's rho algorithm prime factorization algorithm Quadratic sieve Shor's algorithm Special number field sieve ...
The algorithm (and therefore the program code) is simpler than other algorithms, especially compared to strong algorithms that ... An algorithm combining a constraint-model-based algorithm with backtracking would have the advantage of fast solving time - of ... Modelling Sudoku as an exact cover problem and using an algorithm such as Knuth's Algorithm X and his Dancing Links technique " ... The simplex algorithm is able to solve proper Sudokus, indicating if the Sudoku is not valid (no solution). If there is more ...
"Introduction to Algorithms, Third Edition". www.cs.dartmouth.edu. "Errata for Introduction to Algorithms, 4th Edition". mitp- ... 31 Number-Theoretic Algorithms 32 String Matching 33 Machine-Learning Algorithms 34 NP-Completeness 35 Approximation Algorithms ... Introduction to Algorithms is a book on computer programming by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and ... Introduction to Algorithms. MIT Press. 22 March 2022. ISBN 9780262046305. Cormen et al, back cover. See, also, Big Red at the ...
Incremental algorithms, or online algorithms, are algorithms in which only additions of elements are allowed, possibly starting ... Decremental algorithms are algorithms in which only deletions of elements are allowed, starting with an initialization of a ... "Dynamic graph algorithms". In CRC Handbook of Algorithms and Theory of Computation, Chapter 22. CRC Press, 1997. (Computational ... If both additions and deletions are allowed, the algorithm is sometimes called fully dynamic. Static problem For a set of N ...
... determined from the worst case inputs to the algorithm. The term "analysis of algorithms" was coined by Donald Knuth. Algorithm ... Since algorithms are platform-independent (i.e. a given algorithm can be implemented in an arbitrary programming language on an ... Algorithm analysis is important in practice because the accidental or unintentional use of an inefficient algorithm can ... In computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms-the amount ...
In computer algorithms, Block swap algorithms swap two regions of elements of an array. It is simple to swap two non- ... All three algorithms are linear time O(n), (see Time complexity). The reversal algorithm is the simplest to explain, using ... Three algorithms are known to accomplish this: Bentley's Juggling (also known as Dolphin Algorithm ), Gries-Mills, and Reversal ... The reversal algorithm uses three in-place rotations to accomplish an in-place block swap: Rotate region A Rotate region B ...
One such example of deadlock algorithm is Banker's algorithm. Distributed deadlocks can occur in distributed systems when ... algorithms, which track all cycles that cause deadlocks (including temporary deadlocks); and heuristics algorithms which don't ... algorithms, which track all cycles that cause deadlocks (including temporary deadlocks); and heuristics algorithms which don't ... A deadlock prevention algorithm organizes resource usage by each process to ensure that at least one process is always able to ...
The Lehmer-Schur algorithm uses the Schur-Cohn test for circles; a variant, Wilf's global bisection algorithm uses a winding ... However, most root-finding algorithms do not guarantee that they will find all the roots; in particular, if such an algorithm ... In mathematics and computing, a root-finding algorithm is an algorithm for finding zeros, also called "roots", of continuous ... An efficient method to compute this factorization is Yun's algorithm. List of root finding algorithms Broyden's method - Quasi- ...
C4.5 algorithm, a descendant of ID3 decision tree algorithm, was developed by Ross Quinlan 1993 - Apriori algorithm developed ... It adds a soft-margin idea to the 1992 algorithm by Boser, Nguyon, Vapnik, and is the algorithm that people usually refer to ... 1956 - Kruskal's algorithm developed by Joseph Kruskal 1956 - Ford-Fulkerson algorithm developed and published by R. Ford Jr. ... 1977 - RSA encryption algorithm rediscovered by Ron Rivest, Adi Shamir, and Len Adleman 1977 - LZ77 algorithm developed by ...
... (ISSN 0937-5511) is a book series in mathematics, and particularly in combinatorics and the design ... 1) Geometric Algorithms and Combinatorial Optimization (Martin Grötschel, László Lovász, and Alexander Schrijver, 1988, vol. 2 ... 27) Sparsity: Graphs, Structures, and Algorithms (Jaroslav Nešetřil and Patrice Ossona de Mendez, 2012, vol. 28) Optimal ... and analysis of algorithms. It is published by Springer Science+Business Media, and was founded in 1987. As of 2018[update], ...
... and an algorithm for learning the fit parameters. Because the quantum algorithm is mainly based on the HHL algorithm, it ... The quantum algorithm provides a quadratic improvement over the best classical algorithm in the general case, and an ... Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization ... until a more effective classical algorithm was proposed. The relative speed-up of the quantum algorithm is an open research ...
schemata) is a template in computer science used in the field of genetic algorithms that identifies a subset of strings with ... In evolutionary computing such as genetic algorithms and genetic programming, propagation refers to the inheritance of ...
The Secure Hash Algorithms are a family of cryptographic hash functions published by the National Institute of Standards and ... All SHA-family algorithms, as FIPS-approved security functions, are subject to official validation by the CMVP (Cryptographic ... This was designed by the National Security Agency (NSA) to be part of the Digital Signature Algorithm. Cryptographic weaknesses ... A 160-bit hash function which resembles the earlier MD5 algorithm. ...
... are algorithms that can perform clustering without prior knowledge of data sets. In contrast ... Automated selection of k in a K-means clustering algorithm, one of the most used centroid-based clustering algorithms, is still ... Clustering algorithms artificially generated are compared to DBSCAN, a manual algorithm, in experimental results. Outlier " ... For instance, the Estimation of Distribution Algorithms guarantees the generation of valid algorithms by the directed acyclic ...
... is the use of specific algorithms-editors to assist in the creation, modification, analysis, or ... The algorithms-editors are usually integrated with 3D modeling packages and read several programming languages, both scripted ... The acronym appears for the first time in the book AAD Algorithms-Aided Design, Parametric Strategies using Grasshopper, ... or visual (RhinoScript®, Grasshopper®, MEL®, C#, Python®). The Algorithms-Aided Design allows designers to overcome the ...
Shiloach, Yossi; Vishkin, Uzi (1982). "An O(n2 log n) parallel max-flow algorithm". Journal of Algorithms. 3 (2): 128-146. doi: ... In many respects, analysis of parallel algorithms is similar to the analysis of sequential algorithms, but is generally more ... In computer science, the analysis of parallel algorithms is the process of finding the computational complexity of algorithms ... An algorithm that exhibits linear speedup is said to be scalable. Efficiency is the speedup per processor, Sp / p. Parallelism ...
The European Symposium on Algorithms (ESA) is an international conference covering the field of algorithms. It has been held ... "Algorithms - ESA 2012 (Lecture Notes in Computer Science)" (PDF). 2012. Retrieved 2012-09-17.[dead link] Official website Index ... Since 2001, ESA is co-located with other algorithms conferences and workshops in a combined meeting called ALGO. This is the ... The intended scope was all research in algorithms, theoretical as well as applied, carried out in the fields of computer ...
For example, if one has a sorted list one will use a search algorithm optimal for sorted lists. The book was one of the most ... Algorithms + Data Structures = Programs is a 1976 book written by Niklaus Wirth covering some of the fundamental topics of ... Pdf at ETH Zurich) (archive.org link) Wirth, Niklaus (2004) [updated 2012]. Algorithms and Data Structures (PDF). Oberon ... Citations collected by the ACM ETH Zurich / N. Wirth / Books / Compilerbau: Algorithms + Data Structures = Programs (archive. ...
... (TALG) is a quarterly peer-reviewed scientific journal covering the field of algorithms. It was ... Algorithmica Algorithms (journal) Gabow, Hal. "Journal of Algorithms Resignation". Department of Computer Science, University ... The journal was created when the editorial board of the Journal of Algorithms resigned out of protest to the pricing policies ... "ACM Transactions on Algorithms". 2020 Journal Citation Reports. Web of Science (Science ed.). Thomson Reuters. 2021. "ACM ...
The algorithm for doing this involves finding an approximation to the diameter of the point set, and using a box oriented ... Finally, O'Rourke's algorithm is applied to find the exact optimum bounding box of this coreset. A Matlab implementation of the ... For the convex polygon, a linear time algorithm for the minimum-area enclosing rectangle is known. It is based on the ... In 1985, Joseph O'Rourke published a cubic-time algorithm to find the minimum-volume enclosing box of a 3-dimensional point set ...
Here are some of the most popular variations of ACO algorithms. The ant system is the first ACO algorithm. This algorithm ... This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some ... The first evidence of convergence for an ant colony algorithm was made in 2000, the graph-based ant system algorithm, and later ... The first ACO algorithm was called the ant system and it was aimed to solve the travelling salesman problem, in which the goal ...
This algorithm identifies topics that are popular now, rather than topics that have been popular for a while or on a daily ... Note: The number of Tweets that are related to the Trends is just one of the factors the algorithm looks at when ranking and ... Trends are determined by an algorithm and, by default, are tailored for you based on who you follow, your interests, and your ...
Find out how the LinkedIn algorithm works in 2023 and master it in 11 easy steps! ... Linkedin algorithm 2023: How it works. If you know how to make your content to appease the algorithm, it can absolutely work in ... LinkedIn Algorithm: How it Works in 2023. Want to engage your LinkedIn audience? Find out how the LinkedIn algorithm works in ... What is the LinkedIn algorithm?. The LinkedIn algorithm takes into account a range of factors to determine who sees what posts ...
What Makes an Artist in the Age of Algorithms?. The Grammy-nominated composer BT spoke to WIRED about art as a form of big data ... So, conceivably, I can have an algorithm producing music all day that sounds like an artist Im a fan of, and that artists ... So youre referring to a body of music that can be used to "train" an artificial intelligence algorithm that can then create ... What makes an artist in the age of algorithms? I spoke with BT to learn more. ...
A Static 2-Approximation Algorithm for Vertex Connectivity and Incremental Approximation Algorithms for Edge and Vertex ... Multi-Dimensional Pattern Matching with Dimensional Wildcards: Data Structures and Optimal On-Line Search Algorithms. 223-265. ... An All Pairs Shortest Paths Distributed Algorithm Using 2n² Messages. 20-36. ... Bibliographic content of Journal of Algorithms, Volume 24 ... Journal of Algorithms, Volume 24. *. export records of this ...
The hereditary breast and ovarian cancer, colorectal cancer, and heart disease algorithms assess risk based only on family ... The following are the algorithms used for family health history risk assessment in the My Family Health Portrait (MFHP) web- ...
The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of ... This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are ... Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a ... The algorithms presented in the book are for the most part "classics," selected because they shed light on the algorithmic ...
The encryption algorithm used in the GSM network is called A5/1 and was developed in the distant year of 1987. There is a new ... The researchers claim that their main motivation is to push carriers to update to the new encryption algorithm and they just ...
See the latest algorithms stories from Popular Science. See news, trends, tips, reviews and more at Popular Science. ... This algorithm knows about recreational drugs that dont even exist yet. By Doug Johnson/Undark / Dec 29, 2021 ... Can An Algorithm Find Artillery Craters In Satellite Images?. By Kelsey D. Atherton / Oct 27, 2015 ... Algorithms arent all created equal. By Martin Erwig/The MIT Press Reader / Sep 13, 2019 ...
Monte Carlo Localization Algorithm. The Monte Carlo Localization (MCL) algorithm is used to estimate the position and ... Localize TurtleBot Using Monte Carlo Localization Algorithm. Apply the Monte Carlo Localization algorithm on a TurtleBot® robot ... Localization algorithms, like Monte Carlo localization and scan matching, estimate your pose in a known map using range sensor ... Localization Algorithms. Particle filters, scan matching, Monte Carlo localization, pose graphs, odometry ...
Algorithms and Data Structures Search Algorithms you own this product This project is part of the liveProject series Algorithms ... liveProject This project is part of the liveProject series Algorithms and Data Structures in Python liveProjects give you the ... Please complete the fields below to get your FREE access to Search Algorithms. Name. ... Using Python, the csv library, and a custom ADT (that youll design), youll implement multiple distinct search algorithms as ...
From chip-to-cloud-to-crowd, Rambus secure silicon IP helps protect the worlds most valuable resource: data. Securing electronic systems at their hardware foundation, our embedded security solutions span areas including root of trust, tamper resistance, content protection and trusted provisioning. Learn more about our Security IP offerings ...
The naive algorithm would be: [. C. 11. C. 12. C. 21. C. 22. ]. =. [. A. 11. B. 11. +. A. 12. B. 21. A. 11. B. 12. +. A. 12. B ... Standard algorithm. Strassen algorithm i. {\displaystyle i}. f. i. (. a. ). {\displaystyle f_{i}(\mathbf {a} )}. g. i. (. b. ) ... The Strassen algorithm defines instead new matrices: M. 1. =. (. A. 11. +. A. 22. ). (. B. 11. +. B. 22. ). ;. M. 2. =. (. A. ... The Strassen algorithm is slower than the fastest known algorithms for extremely large matrices, but such galactic algorithms ...
The QRISK2 algorithm includes all the major risk factors of the FRS-ATP-III score, plus the following [14] :. * Self-reported ... Risk Algorithms. The guidelines that cover the screening of patients for elevated serum lipid levels, and the treatment of ... Commonly used risk algorithms developed with European population cohorts include the following:. * Systematic Coronary Risk ... The most commonly used risk algorithms developed with United States population cohorts include the following:. * Framingham ...
... M. Sonzogni*, F. De Canio, L. Gaioni, ... These algorithms, which are based on different methods (e.g. charge scans, threshold scans, etc) and differs in terms of ... This work discusses four different algorithms for the minimization of threshold dispersion in multichannel readout circuits for ...
Robert Ganian: Directed width measures for parameterized algorithms. 12:00-12:30. Jan Arne Telle: Comparing width parameters ... Jan Kratochvil: Exact algorithms for L(2, 1)-labeling of graphs of bounded degree. ...
Instead of pitting God against science, the emerging spat centres on evolutionary algorithms (EAs), which mimic the processes ...
A new study out of Cornell University suggests that dating app algorithms dont do us any favors as far as sexual racism goes. ... AI is increasingly common, and the algorithms it uses to "predict" crime and misbehavior are reproducing racial discrimination. ... Eric Schadt of the Icahn Institute is creating algorithms that can detect ailments and chart personalized health profiles. ... Eric Schadt of the Icahn Institute is creating algorithms that can detect ailments and chart personalized health profiles. ...
mcrypt_enc_get_algorithms_name(resource $td. ): string. mcrypt_enc_get_algorithms_name() retourne le nom de lalgorithme ... echo mcrypt_enc_get_algorithms_name($td). "\n";. $td = mcrypt_module_open (cast-256, , MCRYPT_MODE_CFB, );. echo mcrypt_ ... Exemple #1 Exemple avec mcrypt_enc_get_algorithms_name(). ,?php.$td = mcrypt_module_open (MCRYPT_CAST_256, , MCRYPT_MODE_CFB ... mcrypt_enc_get_algorithms_name. (PHP 4 ,= 4.0.2, PHP 5, PHP 7 , 7.2.0, PECL mcrypt ,= 1.0.0) ...
Subject: Algorithms in Pascal Category: Computers , Algorithms Asked by: johnsmith2006-ga List Price: \$50.00. Posted: 19 Aug ... Are there any ebook or document about Algorithms in Pascal? I need to find a book that contain all of the Algorithms used to ... The bookcase next to me has several thousand pages of algorithm descriptions and a list of those algorithms may not be what you ... I can provide several free references to algorithms. However, as I asked before, please explain WHICH algorithms you need ...
Evolutionary Algorithms for Face Recognition with Mask. Ekansh Chauhan, Manpreet Sirswal, Richa Singh, Nikhil Bagla, Bhaskar ...
munigram: How much will algorithms predetermine a childs educational path (gifted programs, college acceptance, STEAM skills) ... AskTheExpert , Algorithms #AskTheExpert invites the Eyebeam community to ask an expert questions pertaining to their field. ... It ends up being a battle of trying to outsmart the algorithms to use social media in the way I want to be seen. What ways can ... While the algorithms occupy the spotlight in public discourse, the reality often is that they are just a convenient scapegoat ...
Data Reply has developed a quantum algorithm capable of making the use of resources more efficient and reducing costs, bringing ... This algorithm brings added value to Enels business by supporting the multinational in its decision-making process, with a ... Quantum Inspired Approach refers to the use of a class of algorithms designed to be used on Quantum computers, but which are ... Data Reply has developed a quantum algorithm that allows you to quickly plan the maintenance work performed by units operating ...
The Internet of Things and artificial intelligence algorithms bring new opportunities as well as risks such as privacy issues. ... Things and Algorithms Enable New Business Models for New Opportunities*From Paint Manufacturer to Online Do-It-Yourself ... The Internet of Things and artificial intelligence algorithms bring new opportunities as well as risks such as privacy issues. ... Things and Algorithms Can Cause Unintended Consequences as the Supply Chain Lengthens ...
Positioning Algorithms:. 9. Receiver position from one-way pseudoranges. 10. Differences of one-way observations. Part IV. ... This text is a guide to the algorithms and mathematical principles that account for the success of GPS technology and replaces ... At the heart of the matter are the positioning algorithms on which GPS technology relies, the discussion of which will affirm ...
The Internet is devolving from a free forum of ideas to a series of walled gardens where algorithms and a small cadre of elites ... The algorithms themselves that make removal decisions and the human decisions that drive them operate as black boxes without ... It is not just social networks - research has suggested the power of search algorithms to change the outcome of a presidential ... The influence of Facebooks algorithms over what users see was reinforced by an April 2012 post by Facebook itself noting that ...
Algorithms in the Field (AitF) Archived Available Formats: HTML , PDF , TXT Document Type: Program Announcements & Information ...
The focus of Quantic on quantum algorithms can be summarized as follows:. 1) Develop strategies to exploit small and medium ... We design novel quantum algorithms for quantum computation, quantum simulation and quantum annealing. These new algortihms are ... The use of such a machine brings the possibility of exploring new quantum algorithms. ... the readout of a quantum machine is non-deterministic brings an element of difficulty to the construction of quantum algorithms ...
Computer scientists from the United States have developed a test that can determine if a computer algorithm is biased, and fix ... Job applications are often sorted and ranked by software algorithms, but the resulting lists can often be as biased as if a ... A team led by Suresh Venkatasubramanian at the University of Utah has developed a test that determines whether an algorithm is ...
• The proofs can be found in any textbooks about graph algorithms. (smith.edu)
• I would like to receive email from UCSanDiegoX and learn about other offerings related to Graph Algorithms. (edx.org)
• Explore the latest questions and answers in Graph Algorithms, and find Graph Algorithms experts. (researchgate.net)
• I've written before about how machine-learning algorithms could help identify false rumors on social media. (slate.com)
• Called ensemble learning, the technique is designed to combine the best aspects of multiple machine learning algorithms into a single model to perform a task, such as identifying suspicious lung lesions or estimating bone age based on skeletal x-rays. (auntminnie.com)
• ebook machine learning algorithms to change to the VXML of the economics of disabled links later. (drpulley.de)
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• Multi-Dimensional Pattern Matching with Dimensional Wildcards: Data Structures and Optimal On-Line Search Algorithms. (uni-trier.de)
• This example shows how to use an inertial measurement unit (IMU) to minimize the search range of the rotation angle for scan matching algorithms. (mathworks.com)
• Using Python, the csv library, and a custom ADT (that you'll design), you'll implement multiple distinct search algorithms as you create a program that allows your client to run many queries- and be fast and efficient, despite the large size of the dataset. (manning.com)
• It is not just social networks - research has suggested the power of search algorithms to change the outcome of a presidential election. (forbes.com)
• When you search for airplane tickets, these algorithms are used to find a route with the minimum number of plane changes. (edx.org)
• We will cover all these applications, and you will learn Breadth-First Search, Dijkstra's Algorithm and Bellman-Ford Algorithm. (edx.org)
• On February 26, 2015, Google announced the newest shift in online search: an algorithm update that favors mobile-friendly websites in mobile search queries and rankings. (goodworkmarketing.com)
• Having a good user experience across all devices is becoming more important with every update to the Google search algorithm. (goodworkmarketing.com)
• Kuncheva, L.I., Bezdek, J.C.: Nearest prototype classification: clustering, genetic algorithms, or random search? (crossref.org)
• Complexity of Linear Search Algorithm. (com.vn)
• Linear search is the simplest searching algorithm that searches for an element in a list in sequential order. (com.vn)
• Linear Search In Python 3: Run time Analysis Obviously, the best case of linear search algorithm is when VAL is equal to the first element of the list. (com.vn)
• The value from this is to understand how recursion can be used to search using linear search algorithm. (com.vn)
• It's a very simple search algorithm. (com.vn)
• Linear search is rarely used practically because other search algorithms such as the binary search algorithm and hash tables allow significantly faster-searching comparison to Linear search. (com.vn)
• It is a very clever algorithm which reduces the time needed to search for items in large datasets dramatically compared to less efficient approaches. (com.vn)
• The algorithm is as follows (given a list called 'List' and looking for an item called 'item'): Python Program for Linear Search Algorithm. (com.vn)
• The Binary Search Algorithm is fundamental in Computer Science. (com.vn)
• This article deals with the linear search or sequential search algorithm. (com.vn)
• How Linear Search Algorithm Works? (com.vn)
• We move from … The linear search algorithm iterates through the sequence one item at a time until the specific item is found or all items have been examined. (com.vn)
• if element Found at last O(n) to O(1) Let's first develop an algorithm for performing a linear search. (com.vn)
• It is inefficient and rarely used, but creating a program for it gives an idea about how we can implement some advanced search algorithms. (com.vn)
• Linear search is one of the simplest searching algorithm in which targeted item in sequentially matched with each item in a list. (com.vn)
• In the linear search algorithm: - We start searching a list for a particular value from the first item in the list. (com.vn)
• Try out this animation for a better understanding of both these search algorithms. (com.vn)
• The quantum computing gateway provides the management for job scheduling and queues and acts as an application programming interface (API) between high-level code and compiled instructions for nanosecond timing resolution and sub-microsecond latency of control procedures on the Rydberg system, while the integrated hybrid system provides a seamless and consistent flow of information and functionality between quantum and classical computations necessary for fast implementation of hybrid quantum algorithms. (academictransfer.com)
• Direct access via the quantum computing gateway will allow algorithm developers substantially more flexibility in designing pulse-based algorithms for direct implementation on the Rydberg system. (academictransfer.com)
• Since their work is purely theoretical and lacks an implementation, I'm looking to partner up with someone to investigate and implement faster fragmentation tree algorithms. (researchgate.net)
• The course allows the student to acquire adequate knowledge and skills in algorithms, data structures and their implementation in C to solve complex problems. (yujboss.uz)
• It is faster than the standard matrix multiplication algorithm for large matrices, with a better asymptotic complexity , although the naive algorithm is often better for smaller matrices. (wikipedia.org)
• Our focus areas include the complexity of randomized algorithms, randomized algorithms for matrix computations and data analysis, random polytopes and convex geometry, smoothed analysis of algorithms, and expander graphs. (ohio-state.edu)
• The current Flex-Algorithm mechanism increases the complexity and overhead of managing, advertising and maintaining additional SR SIDs, SRv6 Locators and IPv4 prefixes, which may not be affordable to some networks and devices. (ietf.org)
• In computer science , the complexity of an algorithm is a way to classify how efficient an algorithm is, compared to alternative ones. (citizendium.org)
• The complexity of a given algorithm is expressed by the worst-case execution time , using the big O notation . (citizendium.org)
• To find the complexity of this algorithm, we start from the middle and work our way out. (citizendium.org)
• Having obtained her master's degree with excellent grades, Viktoriia is now a PhD student at the Algorithms and Complexity Group of TU Wien. (vcla.at)
• The time complexity of the above algorithm is O(n). (com.vn)
• It is worst searching algorithm with worst case time complexity O (n). (com.vn)
• A Static 2-Approximation Algorithm for Vertex Connectivity and Incremental Approximation Algorithms for Edge and Vertex Connectivity. (uni-trier.de)
• Approximation Algorithms for Min-Max Tree Partition. (uni-trier.de)
• Instead of pitting God against science, the emerging spat centres on evolutionary algorithms (EAs), which mimic the processes of natural selection and random mutation by "breeding", selecting and re-breeding possible designs to produce the fittest ones. (newscientist.com)
• Learn how to use algorithms to explore graphs, compute shortest distance, min spanning tree, and connected components. (edx.org)
• If you have ever used a navigation service to find the optimal route and estimate time to destination, you've used algorithms on graphs. (edx.org)
• If you're looking for the fastest time to get to work, cheapest way to connect set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs. (edx.org)
• In this module, you will learn ways to represent a graph as well as basic algorithms for decomposing graphs into parts. (edx.org)
• In this module you will study algorithms for finding Shortest Paths in Graphs. (edx.org)
• An 'All Pairs Shortest Paths' Distributed Algorithm Using 2n² Messages. (uni-trier.de)
• We will also talk about shortest paths algorithms. (edx.org)
• These algorithms are efficient and lay the foundation for even more efficient algorithms which you will learn and implement in the Shortest Paths Capstone Project to find best routes on real maps of cities and countries, find distances between people in Social Networks. (edx.org)
• Similar analysis can be performed to find the expected and best case execution times of algorithms. (citizendium.org)
• The objective of this study was to develop an algorithm for automatically processing data collected with inertial measurement unit (IMU) wearable devices to measure lifting risk factors for low back disorders. (cdc.gov)
• Like all other social networks, LinkedIn relies on an algorithm for sending content to its users. (hootsuite.com)
• If you know how to make your content to appease the algorithm, it can absolutely work in your favor. (hootsuite.com)
• The influence of Facebook's algorithms over what users see was reinforced by an April 2012 post by Facebook itself noting that at the time just 16% of content posted to the network was seen by others and that companies should pay to "sponsor" their posts to ensure they are seen. (forbes.com)
• In other words, there is so much content being generated on Facebook, that users only see a small and ever-shrinking fraction of it, meaning that paid advertising and the decisions of Facebook's own algorithms determine an ever-growing fraction of what we ultimately see when we log in. (forbes.com)
• With Facebook pushing aggressively to become a primary distributor of news content, these algorithms will even play a substantial role in the world events we are aware of. (forbes.com)
• The algorithm prioritizes content that fits in with your interests and already existing world view, which is based on the user profile Facebook has created of you by analyzing your posts, reactions, likes , personal information, connections, behavior on the site itself, and whichever info they can gather from tracking cookies. (uva.nl)
• Facebook has been under fire for the algorithm that decides which content on our timeline is prioritized. (uva.nl)
• general matrix multiplication algorithm wasn't optimal. (wikipedia.org)
• Unexpectedly, these algorithms can also be used to determine the optimal way to do currency exchange, sometimes allowing to earn huge profit! (edx.org)
• The algorithm relies on "optimal transport," a geometry-based framework that determines the most efficient ways to move objects -- or data points -- between multiple origin and destination configurations. (technologynetworks.com)
• In the new learning augmented setting, an algorithm which uses predictions to take decisions is both consistent - i.e. when the predictions are accurate, the performances of our algorithms are close to those of an optimal offline algorithm-, and robust - i.e. when the predictions are wrong, the performance of our algorithms are close to those of an online algorithm without predictions. (durham.ac.uk)
• Our major contribution is to show that there exist (ϵ,δ) differentially private variants of Upper Confidence Bound algorithms which have optimal regret, O(ϵ−1+logT). (chalmers.se)
• An IGP Flexible Algorithm (Flex-Algorithm) allows IGPs to compute constraint-based paths. (ietf.org)
• At the heart of the matter are the positioning algorithms on which GPS technology relies, the discussion of which will affirm the mathematical contents of the previous chapters. (cambridge.org)
• A Structured Diagnostic Algorithm for Patients With ARDS This article provides practical steps for the diagnosis of ARDS. (medscape.com)
• Data Reply has developed a quantum algorithm that allows you to quickly plan the maintenance work performed by units operating throughout Italy. (reply.com)
• Furthermore, the use of the D-Wave quantum machine and the AWS Cloud was also tested in order to verify that these "Quantum Inspired" algorithms can be used on today's Quantum devices. (reply.com)
• Quantum Inspired Approach refers to the use of a class of algorithms designed to be used on Quantum computers, but which are also solved by means of traditional hardware. (reply.com)
• Indeed, thanks to certain parallelization features intrinsic to Quantum algorithms, it is possible to give benefits, in terms of both the quality of the solution and the speed of resolution, even using non-Quantum hardware. (reply.com)
• An example is the Quadratic Unconstrained Binary Optimization (QUBO) algorithm which allows to formulate a combinatorial optimization problem so that it can be solved by means of quantum computers . (reply.com)
• We design novel quantum algorithms for quantum computation, quantum simulation and quantum annealing. (bsc.es)
• The use of such a machine brings the possibility of exploring new quantum algorithms. (bsc.es)
• The fact that the readout of a quantum machine is non-deterministic brings an element of difficulty to the construction of quantum algorithms and its application to real problems. (bsc.es)
• This platform is very suitable for specific tasks such as hybrid algorithms for quantum chemistry problems. (academictransfer.com)
• We welcome applications from candidates with experience in ultracold atoms and/or quantum computing related fields, who have a strong affinity algorithm and interface development. (academictransfer.com)
• Experience and affinity with software development, API-integration, quantum computing algorithms and/or high-performance computing and applications thereof. (academictransfer.com)
• Kyle has formally taught courses covering programming skills at all levels, including courses specifically related to the algorithms and data structures seen in this liveProject. (manning.com)
• IGP Flex-Algorithm can be used with Segment Routing (SR) or IP data plane. (ietf.org)
• When used with SR data plane, Flex-Algorithm requires to allocate algorithm specific Prefix Segment Identifiers (SIDs) or algorithm specific SRv6 Locators. (ietf.org)
• When used with IP data plane, Flex-Algorithm requires to allocate algorithm specfic IPv4 or IPv6 prefixes. (ietf.org)
• I-D.li-6man-topology-id ] proposes the IPv6 extensions to carry the topology and/or Algorithm ID in the data plane. (ietf.org)
• The algorithm looks at a range of data when making decisions - including financial information, clinical trials for particular drugs, intellectual property owned by the firm and previous funding. (bbc.com)
• I teach Data structure and Algorithm. (freelancer.com)
• In this course, part of the Algorithms and Data Structures MicroMasters program, you will learn what a graph is and its most important properties. (edx.org)
• This funding opportunity announcement (FOA) invites applications for the NIH Back Pain Consortium (BACPAC) Research Program Data Integration, Algorithm Development and Operations Management Center. (nih.gov)
• BACPAC will include multiple Mechanistic Research Centers, Technology Research Sites, Phase 2 Clinical Trials (Phase 2CT) and a Data Integration, Algorithm Development and Operations Management Center (DAC). (nih.gov)
• This FOA invites applications for the BACPAC Data Integration, Algorithm Development and Operations Management Center (U24) and runs in parallel with companion FOAs ( RFA-AR-19-026 ) that invites applications for the BACPAC Mechanistic Research Centers, ( RFA-AR-19-028 ) for the BACPAC Technology Sites, and ( RFA-AR-19-029 ) for the Phase 2 Clinical Trials. (nih.gov)
• What do you think does a better job of predicting someone's risk of committing a future crime -- data-driven algorithms or human judgement? (kqed.org)
• We present the results of an evaluation study comparing traditional, manual surveillance methods to alternative methods with available clinical electronic data and computer algorithms to identify bloodstream infections. (cdc.gov)
• therefore, the algorithms can be applied to clinical data from the previous day. (cdc.gov)
• Unit-specific infection rates, per 1,000 patient days, were 1.0-12.5 by investigator review and 1.4-10.2 by computer algorithm (correlation r = 0.91, p = 0.004). (cdc.gov)
• The "Full Frontal" host explained why blaming the website's algorithm won't solve anything. (huffpost.com)
• Unfortunately, the size of the system of equations obtained and the lack of efficient resolution algorithms make it impossible, at this time, to solve such systems in a reasonable time.The challenge of this thesis is, from the algebraic structure of the AES, to describe its encryption and decryption processes in the form of a new Boolean equations system. (archives-ouvertes.fr)
• To test ensemble learning, a research team led by medical student Ian Pan of the Warren Alpert Medical School at Brown University in Providence, RI, started with 48 algorithms that were submitted as part of the RSNA's pediatric bone age challenge competition at RSNA 2017. (auntminnie.com)
• An appendix offers pseudocode descriptions of many algorithms. (mit.edu)
• The algorithms presented in the book are for the most part "classics," selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming. (mit.edu)
• algorithmic - first algorithm typesetting environment. (stackexchange.com)
• So you're referring to a body of music that can be used to "train" an artificial intelligence algorithm that can then create original music that resembles the music it was trained on. (wired.com)
• The Internet of Things and artificial intelligence algorithms bring new opportunities as well as risks such as privacy issues. (gartner.com)
• November 21, 2019 -- Employing multiple artificial intelligence (AI) algorithms to attack a task together results in better performance compared with using a single AI algorithm on its own, according to a study published online November 20 in Radiology: Artificial Intelligence . (auntminnie.com)
• Artificial intelligence (AI) algorithms enhanced many facets of image processing. (wordpress.com)
• We were on the verge of abandoning the algorithm and moving on, when unexpectedly, I had an idea of how it could be fixed. (vcla.at)
• Algorithm Developer With C/C++/C#/Python/Java ⭐ I have been working on designing and implementing algorithm with C/C++/C#/Python/Java for 5 years. (freelancer.com)
• Python - Searching Algorithms. (com.vn)
• We finish by examining the fascinating oscillatory behavior of the divide-and-conquer recurrence corresponding to the mergesort algorithm and the general 'master theorem' for related recurrences. (coursera.org)
• Eventually, one of the algorithms started displaying 'self-reactive behavior,' which they call 'a distinctive sign of genuine collusion, and it would be difficult to explain otherwise. (popularmechanics.com)
• Like Netflix, these tools use algorithms to make predictions about behavior. (kqed.org)
• In the programming assignment of this module, you will apply the algorithms that you've learned to implement efficient programs for exploring mazes, analyzing Computer Science curriculum, and analyzing road networks. (edx.org)
• How does the LinkedIn algorithm work in 2023? (hootsuite.com)
• So how does the LinkedIn algorithm work? (hootsuite.com)
• Page Migration Algorithms Using Work Functions. (uni-trier.de)
• This work discusses four different algorithms for the minimization of threshold dispersion in multichannel readout circuits for pixel detectors. (sissa.it)
• huuugeposer: I'm always curious about what algorithms are set in place and how I can work with them. (eyebeam.org)
• This text is a guide to the algorithms and mathematical principles that account for the success of GPS technology and replaces the authors' previous work, Linear Algebra, Geodesy, and GPS (1997). (cambridge.org)
• I can work with your project skills Algorithm, C++ Programming and Java. (freelancer.com)
• When you launch a navigation app on your smartphone like Google Maps or Yandex.Navi, it uses these algorithms to find you the fastest route from work to home, from home to school, etc. (edx.org)
• Overall, this work provides new insights into the performance of algorithms in axillary MWI. (bvsalud.org)
• The Research Program will utilize novel analytics and technologies to extensively phenotype patients with low back pain, develop an integrated model of cLBP, produce new and improved diagnostic and treatment algorithms, and will conduct traditional Phase 2 Clinical Trials as well as sequential, adaptive, phase 2/proof of concept clinical studies in stratified patient populations. (nih.gov)
• Risk for Ovarian Malignancy Algorithm (ROMA) and Human epididymis protein 4 (HE4) appear to be promising predictors for epithelial ovarian cancer (EOC), however, conflicting results exist in the diagnostic performance comparison among ROMA, HE4 and CA125. (nih.gov)
• These algorithms, which are based on different methods (e.g. charge scans, threshold scans, etc) and differs in terms of performance and computation time, have been tested on the asynchronous front-end integrated in the CHIPIX65_FE0, a readout ASIC prototype designed in a 65 nm CMOS technology. (sissa.it)
• This approach allows the student to learn a large number of algorithms within a relatively short span of time. (mit.edu)
• Moreover, the running time of Dijkstra s algorithm is O ( V 2 + E ), where V is the number of vertices, and E the number of edges. (smith.edu)
• They then used combinations of up to 10 algorithms at a time that were trained on a dataset of over 12,000 pediatric hand x-rays in which radiologists had determined true bone age. (auntminnie.com)
• Sometimes one is interested in expected or best case execution time as well, or even the algorithms requirements of memory or other resources. (citizendium.org)
• even if computers get faster, or if the algorithm is ported to another software platform, the worst case execution time of an algorithm does not change. (citizendium.org)
• Constant time --- the time necessary to perform the algorithm does not change in response to the size of the problem. (citizendium.org)
• Sub-linear time algorithms (grow slower than linear time algorithms). (citizendium.org)
• Super-polynomial time algorithms (grow faster than polynomial time algorithms). (citizendium.org)
• We apply two algorithms from graph theory, one is based on stable flows in time, the other on quickest evacuation flows. (easychair.org)
• inproceedings{HIC2018:Graph_Theory_Algorithms_for, author = {Ronald R. P. van Nooijen and Alla Kolechkina}, title = {Graph Theory Algorithms for Real Time Control of a Sewer Network}, booktitle = {HIC 2018. (easychair.org)
• Now an MIT student has invented a novel algorithm that produces a portamento effect between any two audio signals in real-time. (technologynetworks.com)
• These are algorithms block cipher that interests us here.The aim of cryptanalysis is to recover the original information without knowing the encryption key and this, into a shorter time than the brute-force attack. (archives-ouvertes.fr)
• However, if there is a possibility of very early infection leading to a non-reactive initial antigen/antibody immunoassay, such as when recent HIV exposure is suspected or reported, then conduct an HIV-1 nucleic acid test (NAT), or request a new specimen and repeat the algorithm according to CDC guidance (1,4,5,6). (cdc.gov)
• HIV-2 test (antibody test or NAT) or repeat the algorithm in 2 to 4 weeks, starting with an antigen/antibody immunoassay (3). (cdc.gov)
• 4. Laboratories should use this same testing algorithm, beginning with an antigen/antibody immunoassay on all serum or plasma specimens submitted for testing after a preliminary positive result from any rapid HIV test conducted in a CLIA-waived setting (7). (cdc.gov)
• aThe FDA-approved single-use rapid HIV-1/HIV-2 antigen/antibody immunoassay can be used as the initial assay in the laboratory HIV testing algorithm for serum or plasma. (cdc.gov)
• A new study out of Cornell University suggests that dating app algorithms don't do us any favors as far as sexual racism goes. (huffpost.com)
• Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. (mit.edu)
• Though Deep Blue is now obsolete, the highest ranked open-source chess algorithm named Stockfish incorporates the fundamental design choices built into Deep Blue. (automatedfutures.net)
• The researchers claim that their main motivation is to push carriers to update to the new encryption algorithm and they just might - if they get enough bad publicity. (gsmarena.com)
• The main purpose behind these evaluations is to determine the best detectordescriptor algorithm combination to use for robot navigation. (spie.org)
• For the paper on k-means clustering, it was a colleague who came up with the main idea, whereas Viktoriia sees her contribution in finding a solution to a problem with an algorithm that they had devised. (vcla.at)
• Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field. (mit.edu)
• At the core of this digital economy lie a new generation of electronic gatekeepers: a mixture of highly sophisticated computer algorithms tended and programmed by a small cadre of technical elite that determine what we see in the online world. (forbes.com)
• A venture capital firm has appointed a computer algorithm to its board of directors. (bbc.com)
• We will finish with minimum spanning trees, which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms. (edx.org)
• and computer algorithms and manual CVC determination. (cdc.gov)
• The κ value was 0.37 for infection control review, 0.48 for positive blood culture plus manual CVC determination, 0.49 for computer algorithm, and 0.73 for computer algorithm plus manual CVC determination. (cdc.gov)
• In the end, it was her mother, a computer programmer, who came across the Helmut Veith Stipend offered by the Vienna Center for Logic and Algorithms (VCLA) at TU Wien, the technical university of Vienna. (vcla.at)
• With nearly two thirds of Americans getting their news at least in part from social media platforms like Twitter and Facebook, the decisions made by those algorithms are increasingly wielding an outsized influence on American life. (forbes.com)
• Facebook constantly changes the weights that go into its algorithms, meaning what is widely disseminated today may face a penalty tomorrow. (forbes.com)
• In the podcast 'Aflevering 105: Facebook en president Trump' by NUtech , Kraan and Van Hoek warn that this can create a filter bubble because Facebook is only going to show you news that reaffirms- or fits into your established world view (Kraan & Van Hoek). (uva.nl)
• To overcome the above issues and limitation with IGP Flex-Algo, this document defines the Common Address (CA) Flex-Algorithm extensions to allow the use of the same set of SR SIDs, SRv6 Locators, or IP prefixes among multiple Flex-Algorithms. (ietf.org)
• We also substantially improve the bounds of previous family of algorithms which use a continual release mechanism. (chalmers.se)
• The Strassen algorithm is slower than the fastest known algorithms for extremely large matrices, but such galactic algorithms are not useful in practice, as they are much slower for matrices of practical size. (wikipedia.org)
• Evaluating the Performance of Algorithms in Axillary Microwave Imaging towards Improved Breast Cancer Staging. (bvsalud.org)
• Zhang, K., Gu, X.: An affinity propagation clustering algorithm for mixed numeric and categorical datasets. (crossref.org)
• The encryption algorithm used in the GSM network is called A5/1 and was developed in the distant year of 1987. (gsmarena.com)
• Many of these methods are defeated by modern encryption algorithms. (archives-ouvertes.fr)
• Indeed, in a game of spear and shield, cryptographers develop encryption algorithms more efficient to protect the encrypted information from an attack by cryptanalysis. (archives-ouvertes.fr)
• The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. (mit.edu)
• We begin this lecture with an overview of recurrence relations, which provides us with a direct mathematical model for the analysis of algorithms. (coursera.org)
• While cryptography focuses on algorithms to modify an information by making it unintelligible without knowledge of a secret, the second focuses on mathematical methods to recover the original information from the only knowledge of the encrypted element.Cryptography itself is subdivided into two subsets: symmetric cryptography and asymmetric cryptography. (archives-ouvertes.fr)
• In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings. (coursera.org)
• I'm a professional expert in advance algorithms and analysis. (freelancer.com)
• Unfortunately, those algorithms suffer from long computation times making analysis of large datasets intractable. (researchgate.net)
• 2007 download Design and Analysis of Algorithms and s relationship. (brmpf.de)
• This paper addresses the use of radar Microwave Imaging (MWI) to detect and determine whether ALNs have been metastasized, presenting an analysis of the performance of different artifact removal and beamformer algorithms in distinct anatomical scenarios. (bvsalud.org)
• For some reason this function (but not mcrypt_list_algorithms()) returns each element in the array twice. (php.net)
• The bookcase next to me has several thousand pages of algorithm descriptions and a list of those algorithms may not be what you want. (google.com)
• In addition, it is useful to have algorithms numbered for reference and for lists of algorithms to be appended to the list of contents. (stackexchange.com)
• On the positive end, knowing a vertex cover of size k allows for algorithms in the Adjacency List (AL) streaming model whose number of passes is constant and memory is O(log n) for any fixed k. (durham.ac.uk)
• A team led by Suresh Venkatasubramanian at the University of Utah has developed a test that determines whether an algorithm is discriminatory. (techradar.com)
• The social media network has been under fire for its new untransparent algorithm that determines which information is being prioritized in the user's timeline. (uva.nl)
• Using machine-learned predictions to create algorithms with better approximation guarantees is a very fresh and active field. (durham.ac.uk)
• Strassen's algorithm works for any ring , such as plus/multiply, but not all semirings , such as min-plus or boolean algebra , where the naive algorithm still works, and so called combinatorial matrix multiplication . (wikipedia.org)
• The algorithm processes billions of posts per day - all to make the newsfeed as interesting as possible for every user. (hootsuite.com)
• We begin by considering historical context and motivation for the scientific study of algorithm performance. (coursera.org)
• A new study shows how easy it would be for price-setting algorithms to learn to collude with each other and keep prices at a disadvantage for customers. (popularmechanics.com)
• ENISA's " Algorithms, key size and parameters report " has provided useful input to Estonia's national study. (europa.eu)
• Find out how the LinkedIn algorithm works in 2023 and master it in 11 easy steps! (hootsuite.com)
• I need to find a book that contain all of the Algorithms used to use in the Olympic Contest. (google.com)
• What ways can we find out confirmed algorithms and use it to our advantage? (eyebeam.org)
• Since we are using Dijkstra s algorithm to find the shortest path from one point pstart to another pgoal, we can stop when the shortest path of pgoal has been discovered. (smith.edu)