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

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

by Daphne Koller (Author), Nir Friedman (Author)

Synopsis

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

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Quantity

6 in stock

More Information

Format: Illustrated
Pages: 1231
Edition: Illustrated
Publisher: MIT Press
Published: 16 Nov 2009

ISBN 10: 0262013193
ISBN 13: 9780262013192