Description
This book brings together important topics of current research in probabilistic graphical modeling, learning from data and probabilistic inference. Coverage includes such topics as the characterization of conditional independence, the learning of graphical models with latent variables, and extensions to the influence diagram formalism as well as important application fields, such as the control of vehicles, bioinformatics and medicine.
Book Details
Format
Paperback
Pages
396 pages
Language
English
Published
Mar 1, 2007
Publisher
SPRINGER
ISBN-10
354068994X
ISBN-13
9783540689942