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.
Rezensionen / Stimmen
From the reviews: "The book under review is by two well known contributors to this general area. ... the book, consisting of five chapters, provides a very clear, insightful introduction to this theory. ... This is a good book for learning or teaching an important, practically useful topic. There are many good examples and example-based discussions." (Jayanta K. Ghosh, International Statistical Review, Vol. 76 (3), 2008) Kjaerulff, Bayesian networks and influence Diagrams: ... "This book is written for practitioners wishing to understand, construct, and analyze decision support systems based on Bayesian networks and influence diagrams. ...Simple worked examples are provided throughout...and exercises are included after each chapter. ...this book is a useful addition to the texts on Bayesian networks. ...covers many key aspects in the construction and analysis of decision support systems based on Bayesian networks and influence diagrams, achieving the authors' stated goal; ...I would certainly put this book on my reading list for decision analysis classes and recommend it for research students using these techniques..."(Journal of the American Statistical Association, September 2009, Vol. 104, No. 487)
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Illustrationen
1, black & white illustrations
Maße
Höhe: 23.5 cm
Breite: 15.5 cm
Dicke: 20 mm
Gewicht
ISBN-13
978-0-387-74100-0 (9780387741000)
DOI
10.1007/978-0-387-74101-7
Schweitzer Klassifikation
Fundamentals.- Networks.- Probabilities.- Probabilistic Networks.- Solving Probabilistic Networks.- Model Construction.- Eliciting the Model.- Modeling Techniques.- Data-Driven Modeling.- Model Analysis.- Conflict Analysis.- Sensitivity Analysis.- Value of Information Analysis.
