- Bayesian classifier
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байессовский классификатор
Англо-русский словарь технических терминов. 2005.
Bayesian classifier
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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 spam filtering — (pronounced BAYS ee ən, IPA pronunciation: IPA| [ beɪz.i.ən] , after Rev. Thomas Bayes), a form of e mail filtering, is the process of using a naive Bayes classifier to identify spam e mail.The first known mail filtering program to use a Bayes… … Wikipedia
Bayesian — refers to methods in probability and statistics named after the Reverend Thomas Bayes (ca. 1702 ndash;1761), in particular methods related to: * the degree of belief interpretation of probability, as opposed to frequency or proportion or… … 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
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
Hierarchical classifier — A hierarchical classifier is a method of classifying inputs into defined output categories. The classification occurs first on a low level with highly specific pieces of input data. The classifications of the individual pieces of data are then… … Wikipedia
Classification naïve bayesienne — La classification naïve bayésienne est un type de classification Bayésienne probabiliste simple basée sur le théorème de Bayes avec une forte indépendance (dite naïve) des hypothèses. Elle met en œuvre un classifieur bayésien naïf, ou classifieur … Wikipédia en Français
Random naive Bayes — extends the Naive Bayes classifier by adopting the random forest principles: random input selection (bagging, i.e. bootstrap aggregating) and random feature selection ( [Breiman, 2001] ). Naive Bayes classifier Naive Bayes is a probabilistic… … Wikipedia
Наивный байесовский классификатор — простой вероятностный классификатор, основанный на применении Теоремы Байеса со строгими (наивными) предположениями о независимости. В зависимости от точной природы вероятностной модели, наивные байесовские классификаторы могут обучаться очень… … Википедия
MyDLP — Initial release Nov 16, 2009 (2009 11 16) Written in Erlang, Python … Wikipedia
Computer-aided diagnosis — Computer aided detection (CADe) and computer aided diagnosis (CADx) are procedures in medicine that assist doctors in the interpretation of medical images. Imaging techniques in X ray, MRI, and Ultrasound diagnostics yield a great deal of… … Wikipedia
