Description: Advances in Probabilistics Graphical Models, Hardcover by Lucas, Peter (EDT); Gamez, Jose A. (EDT); Salmeron, Antonio (EDT), ISBN 354068994X, ISBN-13 9783540689942, Brand New, Free shipping in the US 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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Book Title: Advances in Probabilistics Graphical Models
Number of Pages: X, 386 Pages
Language: English
Publication Name: Advances in Probabilistic Graphical Models
Publisher: Springer Berlin / Heidelberg
Publication Year: 2007
Subject: Probability & Statistics / Stochastic Processes, Intelligence (Ai) & Semantics, Probability & Statistics / General, Neural Networks, Applied, Discrete Mathematics, Probability & Statistics / Bayesian Analysis
Item Weight: 26.7 Oz
Type: Textbook
Item Length: 9.3 in
Author: José A. Gámez
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Series: Studies in Fuzziness and Soft Computing Ser.
Format: Hardcover
