A Bayesian network (also known as a Bayes network, Bayes net, belief network, or decision network) is a probabilistic graphical model that represents...
53 KB (6,631 words) - 09:22, 12 July 2024
dynamic Bayesian network (DBN) is a Bayesian network (BN) which relates variables to each other over adjacent time steps. A dynamic Bayesian network (DBN)...
8 KB (701 words) - 22:43, 27 November 2023
Machine learning (section Bayesian networks)
learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations...
134 KB (14,772 words) - 03:33, 8 July 2024
Naive Bayes classifier (redirect from Naive Bayesian classifier)
the classifier its name. These classifiers are among the simplest Bayesian network models. Naive Bayes classifiers are highly scalable, requiring a number...
35 KB (5,489 words) - 21:59, 3 June 2024
Bayesian statistics (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a theory in the field of statistics based on the Bayesian interpretation of probability...
19 KB (2,393 words) - 14:53, 5 July 2024
dynamic decision networks, game theory and mechanism design. Bayesian networks are a tool that can be used for reasoning (using the Bayesian inference algorithm)...
231 KB (23,385 words) - 16:44, 14 July 2024
Influence diagram (redirect from Decision network)
decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which...
12 KB (1,476 words) - 13:54, 8 June 2024
List of things named after Thomas Bayes (redirect from Bayesian)
Bayesian analysis – Type of sensitivity analysis Variable-order Bayesian network Variational Bayesian methods – Mathematical methods used in Bayesian...
6 KB (991 words) - 19:50, 14 April 2024
Markov random field (redirect from Markov network)
A Markov network or MRF is similar to a Bayesian network in its representation of dependencies; the differences being that Bayesian networks are directed...
19 KB (2,777 words) - 08:08, 29 April 2024
neural networks are approaches used in machine learning to build computational models which learn from training examples. Bayesian neural networks merge...
20 KB (2,964 words) - 01:28, 19 April 2024