Advances in Probabilistic Graphical Models Contributor(s): Lucas, Peter (Editor), Gámez, José a. (Editor), Salmerón Cerdan, Antonio (Editor) |
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ISBN: 3642088546 ISBN-13: 9783642088544 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: November 2010 |
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. |