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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
Luc Devroye, Laszlo Györfi, Gabor Lugosi
[PDF.sw08] A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)
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| #4140892 in Books | 2013-11-22 | 2013-11-22 | Original language:English | PDF # 1 | 9.25 x1.49 x6.10l,2.01 | File type: PDF | 638 pages|
A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
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