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A Probabilistic Theory of Pattern Recognition

A Probabilistic Theory of Pattern Recognition

by Gabor Lugosi, Luc Devroye and Laszlo Gyoerfi
Paperback
Publication Date: 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.
ISBN:
9781461268772
9781461268772
Category:
Probability & statistics
Format:
Paperback
Publication Date:
22-11-2013
Language:
English
Publisher:
Springer-Verlag New York Inc.
Country of origin:
United States
Pages:
638
Dimensions (mm):
235x155x34mm
Weight:
1kg

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You can find this item in:

Pattern recognition Computer vision Stochastics Probability & statistics
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