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A Probabilistic Theory of Pattern Recognition

A Probabilistic Theory of Pattern Recognition

Gabor Lugosi / László Györfi / Luc Devroye

46,09 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2013
Materia
Probabilidad y estadística
ISBN:
9781461207122
46,09 €
IVA incluido
Disponible

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Sobre IBD

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-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, free classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

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Otros libros del autor

  • A Probabilistic Theory of Pattern Recognition
    Gabor Lugosi / Laszlo Gyorfi / Luc Devroye
    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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  • A Probabilistic Theory of Pattern Recognition
    Gabor Lugosi / László Györfi / Luc Devroye
    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...