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A Probabilistic Theory of Pattern Recognition

A Probabilistic Theory of Pattern Recognition

Gabor Lugosi / László Györfi / Luc Devroye

167,70 €
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Editorial:
Springer Nature B.V.
Año de edición:
1997
Materia
Probabilidad y estadística
ISBN:
9780387946184

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Sobre IBD

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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Otros libros del autor

  • A Probabilistic Theory of Pattern Recognition
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    Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Cher...
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  • A Probabilistic Theory of Pattern Recognition
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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 b...
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