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