"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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