Bayes' formula

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• Bayes' theorem — In probability theory, Bayes theorem (often called Bayes law after Thomas Bayes) relates the conditional and marginal probabilities of two random events. It is often used to compute posterior probabilities given observations. For example, a… …   Wikipedia

• Bayes's theorem — ▪ probability       in probability theory, a means for revising predictions in light of relevant evidence, also known as conditional probability or inverse probability. The theorem was discovered among the papers of the English Presbyterian… …   Universalium

• Bayes' Theorem — A formula for determining conditional probability named after 18th century British mathematician Thomas Bayes. The theorem provides a way to revise existing predictions or theories given new or additional evidence. In finance, Bayes’… …   Investment dictionary

• Teorema de Bayes — En la teoría de la probabilidad el teorema de Bayes es un resultado enunciado por Thomas Bayes en 1763[1] que expresa la probabilidad condicional de un evento aleatorio A dado B en términos de la distribución de probabilidad condicional del… …   Wikipedia Español

• Naive Bayes classifier — A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be independent feature model . In… …   Wikipedia

• Boltzmann's entropy formula — In statistical thermodynamics, Boltzmann s equation is a probability equation relating the entropy S of an ideal gas to the quantity W , which is the number of microstates corresponding to a given macrostate::S = k log W ! (1)where k is Boltzmann …   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

• Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …   Wikipedia

• Sliding window based part-of-speech tagging — is used to part of speech tag a text. A high percentage of words in a natural language are words which are independently of context can be assigned more than one morphological analysis. The percentage of these ambiguous words is typically around… …   Wikipedia

• Neural modeling fields — Neural modeling field (NMF) is a mathematical framework for machine learning which combines ideas from neural networks, fuzzy logic, and model based recognition. It has also been referred to as modeling fields, modeling fields theory (MFT),… …   Wikipedia

• probability theory — Math., Statistics. the theory of analyzing and making statements concerning the probability of the occurrence of uncertain events. Cf. probability (def. 4). [1830 40] * * * Branch of mathematics that deals with analysis of random events.… …   Universalium