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  • probabilities
  • While there is a certain lose of the meaning of probabilities in the reactive model, testing with probabilistic tests proves to be too strong, because it does not relate behavior expressions which we expect to be equivalent. (psu.edu)
  • Pearl argues that the entire enterprise of probabilistic causation has been misguided from the very beginning, because the central notion that causes "raise the probabilities" of their effects cannot be expressed in the language of probability theory. (wikipedia.org)
  • In general, formulating the notion of "probability raising" within the calculus of do-operators resolves the difficulties that probabilistic causation has encountered in the past half-century, among them the infamous Simpson's paradox, and clarifies precisely what relationships exist between probabilities and causation. (wikipedia.org)
  • In contrast to single-valued forecasts (such as forecasting that the maximum temperature at given site on a given day will be 23 degrees Celsius, or that the result in a given football match will be a no-score draw), probabilistic forecasts assign a probability to each of a number of different outcomes, and the complete set of probabilities represents a probability forecast. (wikipedia.org)
  • A probabilistic database is an uncertain database in which the possible worlds have associated probabilities. (wikipedia.org)
  • The term "probabilistic logic" was first used in a paper by Nils Nilsson published in 1986, where the truth values of sentences are probabilities. (wikipedia.org)
  • The proposed semantical generalization induces a probabilistic logical entailment, which reduces to ordinary logical entailment when the probabilities of all sentences are either 0 or 1. (wikipedia.org)
  • vec {d}}_{j})}}} There are some limitations to this framework that need to be addressed by further development: There is no accurate estimate for the first run probabilities Index terms are not weighted Terms are assumed mutually independent To address these and other concerns there are some developed models from the probabilistic relevance framework. (wikipedia.org)
  • uncertain
  • I extend Machina and Schmeidler's (1992) model of probabilistic sophistication to unbounded uncertain prospects (acts) and derive risk preferences over the induced probability distributions (lotteries) with unbounded support. (repec.org)
  • Just as in courtroom reasoning, the goal of employing uncertain inference is to gather evidence to strengthen the confidence of a proposition, as opposed to performing some sort of probabilistic entailment. (wikipedia.org)
  • prediction
  • Other variants of ensemble forecasting systems that have no immediate probabilistic interpretation include those that assemble the forecasts produced by different numerical weather prediction systems. (wikipedia.org)
  • Probabilistic Neural Networks to the Class Prediction of Leukemia and Embryonal Tumor of Central Nervous System. (wikipedia.org)
  • Theory
  • The primary focus of the text is the nontangential maximal function and the area function of a harmonic function and their probabilistic analogues in martingale theory. (springer.com)
  • Probabilistic argumentation theory encounters a problem when used to determine the occurrence of Black Swan events since, by definition, those events are so improbable as to seem impossible. (wikipedia.org)
  • The theory of probabilistic prognosis originated as a continuation of Nikolai Bernstein's ideas stated in his work "Essays of the Physiology of Movement and Physiology of Activity" (1966) A new direction of studies of probabilistic prognosis started with works of Professor J.Feigenberg(1969), Professor M.Tsiskaridze (1969), and Preofessor V.Ivannikov(1971), and later were widely explored by other scientists. (wikipedia.org)
  • Example
  • Here is an example of probabilistic relationship borrowed from Pearl , originally by Cooper. (w3.org)
  • Although others before him proved theorems via the probabilistic method (for example, Szele's 1943 result that there exist tournaments containing a large number of Hamiltonian cycles), many of the most well known proofs using this method are due to Erdős. (wikipedia.org)
  • forecast
  • This technique is not guaranteed to yield an ensemble distribution identical to the actual forecast distribution, but attaining such probabilistic information is one goal of the choice of initial perturbations. (wikipedia.org)
  • Canada has been one of the first countries to broadcast their probabilistic forecast by giving chances of precipitation in percentages. (wikipedia.org)
  • model
  • A stochastic-event probabilistic seismic hazard model, which can be used further for estimates of seismic loss and seismic risk analysis, has been developed for the territory of Yemen. (hindawi.com)
  • The goal of this study is the development and testing of a stochastic-event probabilistic seismic hazard model for the territory of Yemen, which considers the influence of local site conditions and which can be used further for estimates of seismic loss and seismic risk analysis. (hindawi.com)
  • Probabilistic databases distinguish between the logical data model and the physical representation of the data much like relational databases do in the ANSI-SPARC Architecture. (wikipedia.org)
  • efficient
  • We propose a new definition of SLI(P) which is both correct and efficient for probabilistic programs, by including observe dependence in addition to control and data dependences for computing slices. (microsoft.com)
  • citation needed
  • These are some examples of probabilistic propositions collected by the Mindpixel project:[citation needed] You are not human 0.17 Color and colour are the same word spelled differently 0.95 You do not think the sun will rise tomorrow 0.15 You have never seen the sky 0.13 You are a rock 0.01 Is westlife a pop group? (wikipedia.org)
  • Systems
  • We show that by applying the SLI transformation as a pre-pass, we can improve the efficiency of probabilistic inference, not only in our own inference tool R2, but also in other systems for performing inference such as Church and Infer.NET. (microsoft.com)
  • Probabilistic database management systems are currently an active area of research. (wikipedia.org)
  • While there are currently no commercial probabilistic database systems, several research prototypes exist. (wikipedia.org)
  • observation
  • In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over a set of classes, rather than only outputting the most likely class that the observation should belong to. (wikipedia.org)
  • method
  • The probabilistic method is a nonconstructive method, primarily used in combinatorics and pioneered by Paul Erdős, for proving the existence of a prescribed kind of mathematical object. (wikipedia.org)
  • Another way to use the probabilistic method is by calculating the expected value of some random variable. (wikipedia.org)
  • probabilistic neural networks method to gastric endoscope samples diagnosis based on FTIR spectroscopy. (wikipedia.org)
  • goal
  • The probabilistic roadmap planner is a motion planning algorithm in robotics, which solves the problem of determining a path between a starting configuration of the robot and a goal configuration while avoiding collisions. (wikipedia.org)
  • programs
  • We show that usual notions of program slicing, which traverse control and data dependencies backward from the return expression r, are unsatisfactory for probabilistic programs, since it produces incorrect results on some programs and inefficient results on others. (microsoft.com)
  • We show how to automatically synthesize probabilistic programs from real-world datasets. (microsoft.com)
  • We have implemented our algorithm in a tool called PS KETCH, and our results are encouraging- PSKETCH is able to automatically synthesize 16 non-trivial realworld probabilistic programs. (microsoft.com)
  • data
  • Our algorithm efficiently synthesizes a probabilistic program that is most consistent with the data. (microsoft.com)
  • In a probabilistic database, each data item - relation, tuple and value that an attribute can take - is associated with a probability ∈ (0, with 0 representing that the data is certainly incorrect, and 1 representing that it is certainly correct. (wikipedia.org)
  • Consequently, the possible worlds corresponding to the database are as follows: There are essentially two kinds of uncertainties that could exist in a probabilistic database, as described in the table below: By assigning values to random variables associated with the data items, we can represent different possible worlds. (wikipedia.org)
  • possible
  • In probabilistic databases this is even more crucial since such databases have to represent very large numbers of possible worlds, often exponential in the size of one world (a classical database), succinctly. (wikipedia.org)
  • analysis
  • Probabilistic seismic hazard analysis (PSHA) involves the quantitative estimation of ground shaking hazard at a particular site taking into account characteristics of potentially dangerous earthquakes around the site. (hindawi.com)