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A Probabilistic Theory Of Pattern Recognition


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Author by : Luc Devroye
Languange Used : en
Release Date : 2013-11-27
Publisher by : Springer Science & Business Media

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and featur

A Probabilistic Theory Of Pattern Recognition


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Author by : Luc Devroye
Languange Used : en
Release Date : 1996-04-04
Publisher by : Springer Science & Business Media

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

Combinatorial Methods In Density Estimation


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Author by : Luc Devroye
Languange Used : en
Release Date : 2012-12-06
Publisher by : Springer Science & Business Media

Density estimation has evolved enormously since the days of bar plots and histograms, but researchers and users are still struggling with the problem of the selection of the bin widths. This book is t

Pattern Recognition And Machine Learning


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Author by : Christopher M. Bishop
Languange Used : en
Release Date : 2006-08-17
Publisher by : Springer Verlag

The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition an

A Distribution Free Theory Of Nonparametric Regression


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Author by : László Györfi
Languange Used : en
Release Date : 2006-04-18
Publisher by : Springer Science & Business Media

This book provides a systematic in-depth analysis of nonparametric regression with random design. It covers almost all known estimates. The emphasis is on distribution-free properties of the estimates

Psychological Processes In Pattern Recognition


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Author by : Stephen K. Reed
Languange Used : en
Release Date : 2013-09-11
Publisher by : Academic Press

Psychological Processes in Pattern Recognition describes information-processing models of pattern recognition. This book is organized into five parts encompassing 11 chapters that particularly focus o

Neural Networks For Pattern Recognition


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Author by : Christopher M. Bishop
Languange Used : en
Release Date : 1995-11-23
Publisher by : Oxford University Press

`Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist