A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability, 31, Band 31) - Hardcover

Buch 1 von 30: Stochastic Modelling and Applied Probability

Devroye, Luc; Györfi, Laszlo; Lugosi, Gabor

 
9780387946184: A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability, 31, Band 31)

Inhaltsangabe

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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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, tree 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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9781461268772: A Probabilistic Theory of Pattern Recognition (Stochastic Modelling and Applied Probability, Band 31)

Vorgestellte Ausgabe

ISBN 10:  146126877X ISBN 13:  9781461268772
Verlag: Springer, 2013
Softcover