Bayesian network

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Bayesian network

A form of artificial intelligence—named for Bayes’ theorem—which calculates probability based on a group of related or influential signs. Once a Bayesian network AI is taught the symptoms and probable indicators of a particular disease, it can assess the probability of that disease based on the frequency or number of signs in a patient.
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[26.] Hanea, A., "Non-Parametric Bayesian Belief Nets versus Vines," Dependence Modeling: Vine Copula Handbook, 2010, p.
Section 2 motivates the use of such symbolic knowledge-based reasoners, and presents broad categories of such systems: logic-based (typically using Horn clauses) and probabilitic (using Bayesian belief nets).

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