Learning Bayesian Networks

✍ Scribed by Richard E. Neapolitan

Publisher: Prentice Hall
Year: 2003
Tongue: English
Leaves: 704
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow readers to grasp the information. Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning r Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. For expert systems developers and decision theorists.

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