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This book provides a comprehensive introduction to Bayesian networks and decision graphs, covering theory, algorithms, and practical applications. It explains how to model, analyze, and reason under uncertainty in complex systems, making it a key reference for students and researchers in artificial intelligence and decision analysis.
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Publisher: Springer Science+Business Media, LLC
Publishing Year: 2007
ISBN: 978-0-387-68281-5
Pages: 447