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A Probabilistic Theory of Pattern Recognition - Stochastic Modelling and Applied Probability Luc Devroye Softcover Reprint of the Original 1st Ed. 1996 edition
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A Probabilistic Theory of Pattern Recognition - Stochastic Modelling and Applied Probability
Luc Devroye
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.
638 pages, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | November 22, 2013 |
| ISBN13 | 9781461268772 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 638 |
| Dimensions | 155 × 235 × 34 mm · 911 g |
| Language | English |
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