Pattern Recognition and Machine Learning

Name: Pattern Recognition and Machine Learning
Availability: InStock
ISBN: 9780387310732

ISBN-10: 0387310738

ISBN-13: 9780387310732

Edition: 2006

Authors: Christopher M. Bishop

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Description:

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, 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 techniques. The practical applicability of Bayesian methods has been greatly enhanced by the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation, while new models based on kernels have had a significant impact on both algorithms and applications. This…

Book details

List price: $99.99
Copyright year: 2006
Publisher: Springer New York
Publication date: 4/6/2011
Binding: Hardcover
Pages: 778
Size: 7.01" wide x 9.25" long x 0.67" tall
Weight: 4.202
Language: English




Introduction



Probability distributions



Linear models for regression



Linear models for classification



Neural networks



Kernel methods



Sparse kernel machines



Graphical models



Mixture models and EM



Approximate inference



Sampling methods



Continuous latent variables



Sequential data



Combining models