Peter Lucas,José A. Gámez,Antonio Salmerón Cerdan: Advances in Probabilistic Graphical Models


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.
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Author: Peter Lucas,José A. Gámez,Antonio Salmerón Cerdan
Number of Pages: 386 pages
Published Date: 19 Nov 2010
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Publication Country: Berlin, Germany
Language: English
ISBN: 9783642088544
Download Link: Click Here
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