Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning series - Koller, Daphne (Stanford University) - Books - MIT Press Ltd - 9780262013192 - July 31, 2009
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Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning series

Koller, Daphne (Stanford University)

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Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning series

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.

1280 pages, 399 b&w illus.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 31, 2009
ISBN13 9780262013192
Publishers MIT Press Ltd
Pages 1270
Dimensions 209 × 235 × 48 mm   ·   2.23 kg
Language English  
Series Editor Bach, Francis (INRIA - Willow Project-Team)

See all of Koller, Daphne (Stanford University) ( e.g. Hardcover Book )