Bayesian Networks and Influence Diagrams: A Guide to Construction
and Analysis, Second Edition, provides a comprehensive guide for
practitioners who wish to understand, construct, and analyze
intelligent systems for decision support based on probabilistic
networks. This new edition contains six new sections, in addition
to fully-updated examples, tables, figures, and a revised appendix.
Intended primarily for practitioners, this book does not require
sophisticated mathematical skills or deep understanding of the
underlying theory and methods nor does it discuss alternative
technologies for reasoning under uncertainty. The theory and
methods presented are illustrated through more than 140 examples,
and exercises are included for the reader to check his or her level
of understanding. The techniques and methods presented for
knowledge elicitation, model construction and verification,
modeling techniques and tricks, learning models from data, and
analyses of models have all been developed and refined on the basis
of numerous courses that the authors have held for practitioners
worldwide.
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