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A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability) Book
Pattern recognition presents one of the most significant challenges for scientists and engineers and many different approaches have been proposed and developed. The aim of this book is to provide a self-contained and coherent account of probabilistic techniques which have been applied to the subject. Amongst the topics covered are: distance measures, kernel rules, nearest neighbor rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further help a reader's understanding. Research workers and graduate students will benefit from this wide-ranging and up-to-date account of this fast-moving field.Read More
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- 0387946187
- 9780387946184
- Luc Devroye, Laszlo Györfi, Gabor Lugosi
- 4 April 1996
- Springer
- Hardcover (Book)
- 660
- 1st ed. 1996. Corr. 2nd printing
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