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A Probabilistic Theory of Pattern Recognition - Stochastic Modelling and Applied Probability Luc Devroye 1st ed. 1996. Corr. 2nd printing 1997 edition
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. 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 Hardcover Book (Book with hard spine and cover) |
| Released | April 4, 1996 |
| ISBN13 | 9780387946184 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 638 |
| Dimensions | 243 × 166 × 39 mm · 1.10 kg |
| Language | English |