Description
This book introduces the formal foundations and practical applications of Bayesian networks.
About the Author
Adnan Darwiche is a Professor in the Department of Computer Science at the University of California, Los Angeles.
Reviews
'... both practical and advanced ... The first five chapters are sufficient for students and practitioners to gain the necessary knowledge in order to build Bayesian networks for moderately sized applications with the aid of a software tool ... All major inference methods are covered in later chapters which allow researchers and software developers to implement their own software systems tailored to their needs ... It is a comprehensive book that can be used for self study by students and newcomers to the field or as a companion for courses on probabilistic reasoning. Experienced researchers may also find deeper information on some topics. In my opinion, the book should definitely be [on] the bookshelf of everyone who teaches Bayesian networks and builds probabilistic reasoning agents.' Artificial Intelligence
'[This] book will make an excellent textbook; it covers topics suitable for both undergraduate and graduate courses. It will also help practitioners get a firm grasp of the fundamentals of modeling and inference with BNs, as well as some recent advances.' ACM Computing Reviews
Book Information
ISBN 9781107678422
Author Adnan Darwiche
Format Paperback
Page Count 562
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 960g
Dimensions(mm) 254mm * 178mm * 29mm