Advances in Probabilistic Graphical Models

Advances in Probabilistic Graphical Models - Studies in Fuzziness and Soft Computing

Softcover reprint of hardcover 1st Edition 2007

Paperback (19 Nov 2010)

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Publisher's Synopsis

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 information

ISBN: 9783642088544
Publisher: Springer Berlin Heidelberg
Imprint: Springer
Pub date:
Edition: Softcover reprint of hardcover 1st Edition 2007
Language: English
Number of pages: 386
Weight: 623g
Height: 156mm
Width: 234mm
Spine width: 21mm