Items related to A Probabilistic Theory of Pattern Recognition
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.
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- PublisherSpringer
- Publication date2013
- ISBN 10 1461207126
- ISBN 13 9781461207122
- BindingPaperback
- LanguageEnglish
- Number of pages660
- Rating
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