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[PDF] A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

ISBN: 0387946187



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PDF A Probabilistic Theory of Pattern Recognition Stochastic Modelling and Applied Probability


Author: Luc Devroye | Publisher: Springer | Category: Mathematics | Language: English | Page: 638 | ISBN: 0387946187 | ISBN13: 9780387946184 |

Description: Pattern recognition presents one of the most significant challenges for scientists and engineers and many different approaches have been proposed and developed. The aim of this book is to provide a self-contained and coherent account of probabilistic techniques which have been applied to the subject. Amongst the topics covered are: distance measures, kernel rules, nearest neighbor rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further help a reader's understanding. Research workers and graduate students will benefit from this wide-ranging and up-to-date account of this fast-moving field.

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