Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis

摘要: Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in area applied artificial intelligence, offering intuitive, efficient, reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, data mining under uncertainty. Networks Influence Diagrams: A Guide to Construction Analysis provides a comprehensive guide practitioners who wish understand, construct, analyze intelligent systems support based on probabilistic networks. Intended primarily practitioners, this book does not require sophisticated mathematical skills or deep understanding underlying theory nor it discuss alternative reasoning The presented are illustrated through more than 140 examples, exercises included reader check his/her level understanding. techniques knowledge elicitation, model construction verification, modeling tricks, learning models from data, analyses all been developed refined basis numerous courses that authors held worldwide.