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inference chain

См. также в других словарях:

  • Inference — In fer*ence, n. [From {Infer}.] [1913 Webster] 1. The act or process of inferring by deduction or induction. [1913 Webster] Though it may chance to be right in the conclusions, it is yet unjust and mistaken in the method of inference. Glanvill.… …   The Collaborative International Dictionary of English

  • Bayesian inference in phylogeny — generates a posterior distribution for a parameter, composed of a phylogenetic tree and a model of evolution, based on the prior for that parameter and the likelihood of the data, generated by a multiple alignment. The Bayesian approach has… …   Wikipedia

  • Markov chain Monte Carlo — MCMC redirects here. For the organization, see Malaysian Communications and Multimedia Commission. Markov chain Monte Carlo (MCMC) methods (which include random walk Monte Carlo methods) are a class of algorithms for sampling from probability… …   Wikipedia

  • Bayesian inference — is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name Bayesian comes from the frequent use of Bayes theorem in the inference process. Bayes theorem… …   Wikipedia

  • Markov chain — A simple two state Markov chain. A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized …   Wikipedia

  • Markov chain Monte Carlo — Les méthodes MCMC (pour Markov chain Monte Carlo) sont une classe de méthodes d échantillonnage à partir de distributions de probabilité. Ces méthodes se basent sur le parcours de chaînes de Markov qui ont pour lois stationnaires les… …   Wikipédia en Français

  • Indian philosophy — Any of the numerous philosophical systems developed on the Indian subcontinent, including both orthodox (astika) systems, namely, the Nyaya, Vaisheshika, Samkhya, Yoga, Mimamsa, and Vedanta schools of philosophy, and unorthodox (nastika) systems …   Universalium

  • Conditional random field — A conditional random field (CRF) is a statistical modelling method often applied in pattern recognition. More specifically it is a type of discriminative undirected probabilistic graphical model. It is used to encode known relationships between… …   Wikipedia

  • Gibbs sampling — In statistics and in statistical physics, Gibbs sampling or a Gibbs sampler is an algorithm to generate a sequence of samples from the joint probability distribution of two or more random variables. The purpose of such a sequence is to… …   Wikipedia

  • Kolmogorov complexity — In algorithmic information theory (a subfield of computer science), the Kolmogorov complexity of an object, such as a piece of text, is a measure of the computational resources needed to specify the object. It is named after Soviet Russian… …   Wikipedia

  • Bayesian network — A Bayesian network, Bayes network, belief network or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph (DAG). For example …   Wikipedia

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