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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Kruegel et al[5]introduce the concept of Baysian Network statistical formulization to attempt to detect anomalies.
Jensen, The hugin tool for learning baysian networks, Lecture Notes in Artificial Intelligence 2711, (2003), 594-605.