Learning Bayesian Networks
Product Description
Learning Bayesian Networks
<P> <B> </B> 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. <B> </B> Some of the topics discussed include Pearl's message passing algorithm, Parameter Learning: 2 Alternatives, Parameter Learning <I>r</I> Alternatives, Bayesian Structure Learning, and Constraint-Based Learning. <B> </B> For expert systems developers and decision theorists. </P>
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