[PDF.43xb] A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

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

[PDF.we78] A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)

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 | #4267932 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

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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.

You easily download any file type for your gadget.A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability)   |  Luc Devroye, Laszlo Györfi, Gabor Lugosi.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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