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Advances in Probabilistic Graphical Models
Contributor(s): Lucas, Peter (Editor), Gámez, José a. (Editor), Salmerón Cerdan, Antonio (Editor)
ISBN: 3642088546     ISBN-13: 9783642088544
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Paperback - Other Formats
Published: November 2010
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Mathematics | Applied
- Computers | Intelligence (ai) & Semantics
- Mathematics | Probability & Statistics - General
Dewey: 006.3
Series: Studies in Fuzziness and Soft Computing
Physical Information: 0.84" H x 9.21" W x 6.14" (1.25 lbs) 386 pages
 
Descriptions, Reviews, Etc.
Publisher 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.