*  Data Mining Algorithms (Analysis Services - Data Mining)
Choosing an Algorithm by Task. To help you select an algorithm for use with a specific task, the following table provides ... Basic algorithm description Explains what the algorithm does and how it works, and outlines possible business scenarios where ... Choosing the best algorithm to use for a specific analytical task can be a challenge. While you can use different algorithms to ... You can also use third-party algorithms that comply with the OLE DB for Data Mining specification, or develop custom algorithms ...
  https://technet.microsoft.com/en-us/library/ms175595
*  MATH2014 | Algorithms | University of Southampton
Sorting algorithms and divide and conquer algorithms. Graphs and networks. Basic graph theory definitions. Algorithms for the ... To design algorithms for solving a wide range of problems, and to understand whether or not an algorithm may be implemented so ... Network flow algorithms. Flows in capacitated networks, algorithms to find the maximum flow in a network and max-flow min-cut ... Algorithms for finding a minimum-cost spanning tree in a graph. Shortest paths. Algorithms for finding one or more shortest ...
  https://www.southampton.ac.uk/courses/modules/math2014.page
*  Combinatorial Optimization Theory and Algorithms | Rent 9783540256847 | 3540256849
Combinatorial Optimization Theory and Algorithms. by Korte, Bernhard, Vygen, Jens by Korte, Bernhard, Vygen, Jens Recommend ... It documents the relevant knowledge on combinatorial optimization and records those problems and algorithms of this discipline. ... This volume emphasises on theoretical results and algorithms of combinatorial optimization with provably good performance, in ... Korte, Bernhard is the author of 'Combinatorial Optimization Theory and Algorithms', published 2005 under ISBN 9783540256847 ...
  https://www.valorebooks.com/textbooks/combinatorial-optimization-theory-and-algorithms/9783540256847&default=buy
*  A simple genetic algorithm for multiple sequence alignment. - Semantic Scholar
Genetic algorithms, a class of evolutionary algorithms, are well suited for problems of this nature since residues and gaps are ... An evolutionary algorithm cannot compete in terms of speed with progressive alignment methods but it has the advantage of being ... The results show that a simple genetic algorithm is capable of optimizing an alignment without the need of the excessively ... The clear distinction between objective function and genetic algorithms used in MSA-GA makes extending and/or replacing ...
  https://www.semanticscholar.org/paper/A-simple-genetic-algorithm-for-multiple-sequence-a-Gondro-Kinghorn/d385b1345dc3bf5a7740646e588056b3aee9dc47
*  1.375-Approximation Algorithm for Sorting by Reversals | UMIACS
... and a polynomial time algorithm for a special case of unsigned permutations. The best known approximation algorithm for MIN-SBR ... by exploiting the polynomial time algorithm for sorting signed permutations and by developing a new approximation algorithm for ... Following a series of preliminary results, Hannenhalli and Pevzner developed the first exact polynomial time algorithm for the ... maximum cycle decomposition of breakpoint graphs, we design a new 1.375-algorithm for the MIN-SBR problem. ...
  http://www.umiacs.umd.edu/publications/1375-approximation-algorithm-sorting-reversals
*  "Predictive Minimum Description Length Principle Approach to Inferring " by Vijender Chaitankar, Chaoyang Zhang et al.
In this algorithm, the information theoretic quantities MI and CMI determine the regulatory relationships between genes and the ... The performance of the proposed algorithm is evaluated using both synthetic time series data sets and a biological time series ... proposed algorithm produced fewer false edges and significantly improved the precision when compared to existing MDL algorithm. ... In this work, we propose a new inference algorithm that incorporates mutual information (MI), conditional mutual information ( ...
  https://aquila.usm.edu/fac_pubs/349/
*  Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms. - Durham...
The nature of the problem means that derivative-free stochastic search algorithms are required. Results presented here are ... Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms. ... Solving binary classification problems with carbon nanotube / liquid crystal composites and evolutionary algorithms. ... mixtures to be trained by evolutionary algorithms to act as classifiers on linear and nonlinear binary datasets. The training ...
  http://dro.dur.ac.uk/21496/
*  Dynamic Parameter Design By Ant Colony Optimization and Neural Networks - Redorbit
The results indicate better performance in comparison to other algorithms such as genetic algorithms, evolutionary programming ... A CACO algorithm is used to search the best parameter combination in terms of fitness value. To apply the CACO to the problems ... Several modified ant algorithms were developed to optimize continuous space functions. Examples include Bilchev and Parmee ( ... Aijun, LA, L Hejun, L Kezhi and G Zhengbing (2004). Applications of neural network and genetic algorithms to CVI processes in ...
  http://www.redorbit.com/news/technology/1015793/dynamic_parameter_design_by_ant_colony_optimization_and_neural_networks/
*  Information | Free Full-Text | sCwc/sLcc: Highly Scalable Feature Selection Algorithms
This is a remarkable improvement because it is estimated that the original algorithms would need several hours to dozens of ... The result is two accurate and fast algorithms, namely sCwc and sLcc. Multiple experiments with real social media datasets have ... In addition, we introduce a fast implementation of our algorithms: sCwc does not require any adjusting parameter, while sLcc ... However, while feature selection algorithms that exhibit excellent accuracy have been developed, they are seldom used for ...
  http://www.mdpi.com/2078-2489/8/4/159
*  Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models: Computer Science & IT Book...
This chapter introduces the methodology of particle swarm optimization algorithm usage as a tool for finding customer profiles ... Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models: 10.4018/978-1-5225-0788-8. ... "Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models." Nature-Inspired Computing: ... "Particle Swarm Optimization Algorithm as a Tool for Profiling from Predictive Data Mining Models." In Nature-Inspired Computing ...
  https://www.igi-global.com/chapter/particle-swarm-optimization-algorithm-as-a-tool-for-profiling-from-predictive-data-mining-models/161054
*  A parallel genetic algorithm for the set partitioning problem - Digital Library
The genetic algorithm is based on an island model where multiple independent subpopulations each run a steady-state genetic ... With larger numbers of subpopulations the genetic algorithm was regularly able to find the optimal solution to problems having ... algorithm on their own subpopulation and occasionally fit strings migrate between the subpopulations. Tests on forty real-world ... This paper describes a parallel genetic algorithm developed for the solution of the set partitioning problem- a difficult ...
  https://digital.library.unt.edu/ark:/67531/metadc685496/
*  Patente US20060276771 - System and method providing for user intervention in a diabetes control ... - Google Patentes
... the drug delivery algorithm may be an insulin delivery algorithm, and the intervention therapy value may be, for example, an ... to the first user intervention signal to include an intervention therapy value in the execution of the drug delivery algorithm ... the second user intervention signal to exclude the intervention therapy value from the execution of the drug delivery algorithm ... and a processor executing a drug delivery algorithm forming part of the medical control arrangement. The processor may be ...
  http://www.google.es/patents/US20060276771
*  Download Parallel Algorithms For Numerical Linear Algebra
download parallel algorithms for numerical linear 7 - The Flatness Problem. download parallel algorithms for numerical linear ... Quantum Gravity ', download parallel algorithms for numerical of Science, 68: theory. download parallel algorithms for ... The download parallel algorithms of a Controversy ', British Journal for the ego of Science, 50: 189-229. 2001, ' Black Hole ... download parallel algorithms for numerical linear part for a former dialogue to Mars. initial advancements of social download ...
  http://realtoreel.com/testv2/pdf/download-parallel-algorithms-for-numerical-linear-algebra.htm
*  Feasible Direction Decomposition Algorithms for Training Support Vector Machines - Kernel Machines
... the relationship between the two algorithms. It is proved that the two algorithms are equivalent for the pattern recognition ... The first such algorithm for the pattern recognition SVM has been proposed by Joachims in 1999. Its extension to the regression ... A detailed account of both algorithms is carried out, complemented by theoretical investigation of ... decomposition algorithms for training Support Vector Machines (SVM) which are motivated by the method of feasible directions. ...
  http://www.kernel-machines.org/publications/Laskov01/bibliography_exportForm
*  Greedy Algorithms, Frank-Wolfe and Friends - A modern perspective
Frank-Wolfe Algorithm, greedy algorithms, first-order optimization, convex optimization, signal processing, machine learning ... NIPS 2013 Workshop on Greedy Algorithms, Frank-Wolfe and Friends - A modern perspective Keywords: ... Greedy algorithms and projection-free first-order optimization algorithms are at the core of many of the state of the art ... Greedy Algorithms, Frank-Wolfe and Friends - A modern perspective. December 10, 2013, as part of. NIPS 2013 - the 26th Annual ...
  https://sites.google.com/site/nips13greedyfrankwolfe/
*  Gary L. Miller: A Parallel Algorithm for Finding a Separator in Planar Graphs
Parallel Algorithms,Graph Algorithms,Graph Separators,Planar Graph Algorithms}, thanks="NSF DCR-8514961"} Generated by bib2html ... A Parallel Algorithm for Finding a Separator in Planar Graphs. Hillel Gazit and Gary L. Miller. A Parallel Algorithm for ... inproceedings{GaMi87, Author="Hillel Gazit and Gary L. Miller", title="A Parallel Algorithm for Finding a Separator in Planar ...
  http://www.cs.cmu.edu/~glmiller/Publications/b2hd-GaMi87.html
*  How well do facial recognition algorithms cope with a million strangers? | UW News
In general, algorithms that "learned" how to find correct matches out of larger image datasets outperformed those that only had ... How well do facial recognition algorithms cope with a million strangers?. Engineering , News releases , Research , Technology ... All of the algorithms suffered in accuracy when confronted with more distractions, but some fared much better than others. ... But the SIAT MMLab algorithm developed by a research team from China, which learned on a smaller number of images, bucked that ...
  http://www.washington.edu/news/2016/06/23/how-well-do-facial-recognition-algorithms-cope-with-a-million-strangers/
*  Namespaces Algorithms
the algorithms conform to [. XML Namespaces. ], otherwise if [. XML 1.1. ] is in use, algorithms conform to [. XML Namespaces ... This appendix contains several namespace algorithms, such as namespace normalization algorithm that fixes namespace information ... Appendix B: Namespaces Algorithms. Editors: Arnaud Le Hors, IBM. Elena Litani, IBM. Table of contents. *B.1 Namespace ... The algorithm will then continue and consider the element child2. , will no longer find a namespace declaration mapping the ...
  http://www.w3.org/TR/DOM-Level-3-Core/namespaces-algorithms.html
*  Algorithms
Python implementations of various algorithms, more Python algorithm implementations, and still more Python algorithms. ... Nov: 2: Dijkstra's algorithm (Chapter 14). Nov. 4: Minimum spanning trees (Chapter 15). Week 7: Midterm; dynamic programming. ... 2: Approximation algorithms (Chapter 18). Final exam:. Dec. 5 (Monday), 4:00 - 6:00 (per schedule) Other Course-Related ... 28: Streaming algorithms (not in text; see Graham Cormode's slides on finding frequent items and the Wikipedia article on ...
  https://www.ics.uci.edu/~eppstein/161/
*  Advanced Algorithms
What are algorithms, Algorithms as technology, Evolution of Algorithms, Design of Algorithm, Need of Correctness of Algorithm, ... Design and Analysis of Algorithms (DAA) Unit I . Fundamentals (09 Hours). The Role of Algorithms in Computing - ... Embedded Algorithms: Embedded system scheduling (power optimized scheduling algorithm), sorting algorithm for embedded systems ... Unit VI . Multi-threaded and Distributed Algorithms (09 Hours). Multi-threaded Algorithms - Introduction, Performance measures ...
  https://sites.google.com/site/advancedalgorithmsaa/
*  Algorithms | SpringerLink
... algorithms are also quite common topics in interviews. There are many interview questions about search and sort algorithms. ... All of these algorithms will be discussed in this chapter.. Keywords. Binary Search Edit Distance Sort Algorithm Edit Operation ... There are many interview questions about search and sort algorithms. Backtracking, dynamic programming, and greedy algorithms ... This process is experimental and the keywords may be updated as the learning algorithm improves. ...
  https://link.springer.com/chapter/10.1007/978-1-4302-4762-3_4
*  Data Clustering Algorithms
Unsupervised non-linear clustering algorithm. MST based clustering algorithm kernel k-means clustering algorithm Density based ... k-means clustering algorithm Fuzzy c-means clustering algorithm Hierarchical clustering algorithm Gaussian(EM) clustering ... 3) Clustering algorithm must be able to find clustered data with the arbitrary shape.. 4) Clustering algorithm must be ... 6) Clustering algorithm must be able to deal with data set of high dimensionality.. Clustering algorithms can be broadly ...
  https://sites.google.com/site/dataclusteringalgorithms/home
*  Algorithms Software - SourceForge.net
Algorithms Software Software. Free, secure and fast downloads from the largest Open Source applications and software directory ... Algorithms (628) * Genetic Algorithms (98) * Application Servers (3) * Build Tools (3) * Code Generators (9) * Compilers (9) * ... The Algorithm at the heart of it features my first and second theorem abut polygonal surface approximation. It took something ... This algorithm is written in C++ (with a set of SIMD intrinsic extensions), OpenMP and MPI. The performance evaluation revealed ...
  https://sourceforge.net/directory/development/algorithms/language%3Acpp/?sort=update&page=6
*  Algorithms Software - SourceForge.net
Algorithms Software Software. Free, secure and fast downloads from the largest Open Source applications and software directory ... Hot topics in Algorithms Software. cif jhprimeminer-t18v3 genetic algorithm viscoelastic cuda codigos fonte java software ... PowerCiph Data Encryption Algorithm. The PowerCiph Data Encryption Algorithm is a versatile, yet simplistic, encryption ... pgapack, the parallel genetic algorithm library is a powerfull genetic algorithm library by D. Levine, Mathematics and Computer ...
  https://sourceforge.net/directory/development/algorithms/language%3Ac/?page=9
*  Algorithms Software - SourceForge.net
Algorithms Software Software. Free, secure and fast downloads from the largest Open Source applications and software directory ... Can be used in testing various robotic algorithms, and already used for comparison of path planning algorithms like RRT, ... Hot topics in Algorithms Software. nesting dxf nesting software nesting 2d nesting software dwg to dxf converter nesting dwg ... An easy to extend, highly graphical, easy to use 2D robot simulator specialized for path planning algorithms. ...
  https://sourceforge.net/directory/development/algorithms/natlanguage%3Aturkish/?sort=popular