Probabilistic networks, also known as Bayesian networks and
influence diagrams, have become one of the most promising
technologies in the area of applied artificial intelligence. This
book provides a comprehensive guide for practitioners who wish to
understand, construct, and analyze intelligent systems for decision
support based on probabilistic networks. Intended primarily for
practitioners, this book does not require sophisticated
mathematical skills. The theory and methods presented are
illustrated through more than 140 examples, and exercises are
included for the reader to check his/her level of
understanding.
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