Pattern Recognition and Machine Learning

Christopher M. Bishop

Springer-Verlag New York Inc., 2006

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Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models.

ISBN-13
9780387310732
ISBN-10
0387310738
Publisher
Springer-Verlag New York Inc.
Year
2006
Publication date
2006-08-17
Pages
778
Dimensions
242x188x42
Weight
1490