A Probabilistic Theory of Pattern Recognition

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Synopsis

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.

Book details

Edition:
1996
Series:
Stochastic Modelling and Applied Probability (Book 31)
Author:
Luc Devroye, Laszlo Györfi, Gabor Lugosi
ISBN:
9781461207115
Related ISBNs:
9780387946184
Publisher:
Springer New York
Pages:
N/A
Reading age:
Not specified
Includes images:
No
Date of addition:
2020-12-22
Usage restrictions:
Copyright
Copyright date:
1996
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Mathematics and Statistics, Nonfiction