A Probabilistic Theory of Pattern Recognition - Stochastic Modelling and Applied Probability 31 (Paperback)
  • A Probabilistic Theory of Pattern Recognition - Stochastic Modelling and Applied Probability 31 (Paperback)
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A Probabilistic Theory of Pattern Recognition - Stochastic Modelling and Applied Probability 31 (Paperback)

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£74.99
Paperback 638 Pages / Published: 22/11/2013
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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.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781461268772
Number of pages: 638
Weight: 997 g
Dimensions: 235 x 155 x 34 mm
Edition: Softcover reprint of the original 1st ed. 199

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