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Sep 22, 2015 0183 32 The first edition, published in 1973, has become a classic reference in the field Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invarianc Also included are worked examples, comparisons between different methods, ,...

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Solution Manual to Accompany Pattern Classification 2e-Refer to G Telecki, Ext 6317-Duda 2002-02-01 Pattern Recognition and Machine Learning-Christopher M Bishop 2016-08-23 This is the first textbook on pattern recognition to present the Bayesian viewpoint The book presents approximate inference algorithms that permit fast...

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