bayes' formula
1Bayes' 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… …
2Bayes'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… …
3Bayes' 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’… …
4Teorema 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… …
5Naive 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… …
6Boltzmann'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 …
7Bayesian 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… …
8Bayesian probability — Bayesian statistics Theory Bayesian probability Probability interpretations Bayes theorem Bayes rule · Bayes factor Bayesian inference Bayesian network Prior · Posterior · Likelihood …
9Sliding 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… …
10Neural 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),… …
