A Bayes net (also known as a belief net) is composed of a set of nodes representing variables of interest, connected by links to indicate dependencies, and containing information about the relationships between the nodes (often in the form of conditional probabilities).  Usages include prediction, diagnosis, probabilistic modeling, learning from data and forming a basis for building decision nets.  More Info

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