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

Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Автор
 
Год
 
Страниц
 
318
ISBN
 
0387741003
Издатель
 
Springer
Категория
 
Вероятность и статистика

Описание:

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, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty. Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis 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 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/her level of...

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