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этимология

Bayesian networks - перевод на Английский

PROBABILISTIC GRAPHICAL MODEL THAT REPRESENTS A SET OF VARIABLES AND THEIR CONDITIONAL DEPENDENCIES VIA A DIRECTED ACYCLIC GRAPH

Baysian network; Belief network; Bayesian networks; Belief networks; Bayes net; Learning bayesian network structure; Bayesian Network; D-separation; Bayesian belief network; Bayes network; Bayesian net; Bayesian belief net; Hierarchical bayes model; Hierarchial bayes; Hierarchical bayes; Bayes networks; Bayesian Networks; Inference network; Bayesian graphical model; Bayesian Graphical Model; Bayesian model; Hierarchical Bayesian model; Causal network; Bayesian Belief Network; Applications of Bayesian networks; Bayesian belief networks; Bayesian decision network; List of Bayesian network software; Bayesian hierarchical model

Bayesian networks

общая лексика

байесовские сети

объединяют два математических подхода: байесовскую статистику (Bayesian statistics) и теорию графов (graph theory), предоставляя инструмент для моделирования вероятностей, основанный на последовательно обновляемой информации. Используя байесовские сети, программы могут динамически "обучаться", постоянно модифицируя вероятности при фиксированном наборе правил. Такие сети применяются, в частности, в система фильтрации спама, учитывающих анализ отвергнутых пользователем писем

Смотрите также

bayesian analysis

$Diagram illustrating event space <math>\Omega</math> in general formulation of Bayesian inference. Although this diagram shows discrete models and events, the continuous case may be visualized similarly using probability densities.$

METHOD OF STATISTICAL INFERENCE IN WHICH BAYES' THEOREM IS USED TO UPDATE THE PROBABILITY FOR A HYPOTHESIS AS MORE EVIDENCE OR INFORMATION BECOMES AVAILABLE

Bayesian analysis; Screening test fallacy; Bayesian Inference; Bayesian method; Bayesian methods; Bayesian modeling; Bayesian updating; Bayesian learning; Bayesian statistical analysis; Bayesian investor; Baysein statistics; Bayesian update; Bayesian analyses; Bayesian confirmation theory; Bayesian Algorithms; Applications of Bayesian inference; Confirmation theory

общая лексика

байсов(ский) анализ

Bayesian analysis

$Diagram illustrating event space <math>\Omega</math> in general formulation of Bayesian inference. Although this diagram shows discrete models and events, the continuous case may be visualized similarly using probability densities.$

METHOD OF STATISTICAL INFERENCE IN WHICH BAYES' THEOREM IS USED TO UPDATE THE PROBABILITY FOR A HYPOTHESIS AS MORE EVIDENCE OR INFORMATION BECOMES AVAILABLE

Bayesian analysis; Screening test fallacy; Bayesian Inference; Bayesian method; Bayesian methods; Bayesian modeling; Bayesian updating; Bayesian learning; Bayesian statistical analysis; Bayesian investor; Baysein statistics; Bayesian update; Bayesian analyses; Bayesian confirmation theory; Bayesian Algorithms; Applications of Bayesian inference; Confirmation theory

лют, байесовский анализ

Определение

semantic network

<data> A graph consisting of nodes that represent physical or conceptual objects and arcs that describe the relationship between the nodes, resulting in something like a data flow diagram. Semantic nets are an effective way to represent data as they incorporate the inheritance mechanism that prevents duplication of data. That is, the meaning of a concept comes from its relationship to other concepts and the information is stored by interconnecting nodes with labelled arcs. (1999-01-07)

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Википедия

Bayesian network

A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents a set of variables and their conditional dependencies via a directed acyclic graph (DAG). Bayesian networks are ideal for taking an event that occurred and predicting the likelihood that any one of several possible known causes was the contributing factor. For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases.

Efficient algorithms can perform inference and learning in Bayesian networks. Bayesian networks that model sequences of variables (e.g. speech signals or protein sequences) are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams.

https://en.wikipedia.org/wiki/Bayesian network

Как переводится Bayesian networks на Русский язык