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Advances in Probabilistic Graphical Models
Hardcover
Series: Studies in Fuzziness and Soft Computing, Book 213
General ComputersGeneral MathematicsProbability & Statistics
ISBN13: 9783540689942
Publisher: Springer Nature
Published: Feb 5 2007
Pages: 386
Weight: 1.61
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
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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