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A Probabilistic Theory of Pattern Recognition

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A Probabilistic Theory of Pattern Recognition - Devroye, Luc, and Györfi, Laszlo, and Lugosi, Gabor
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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.

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A Probabilistic Theory of Pattern Recognition 2013, Springer, New York, NY

ISBN-13: 9781461268772

Trade paperback

A Probabilistic Theory of Pattern Recognition 1996, Springer, New York, NY

ISBN-13: 9780387946184

1996 edition

Hardcover