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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

Probabilistic Theory Of Mean Field Games With Applications I


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Author by : René Carmona
Languange Used : en
Release Date : 2017-11-01
Publisher by : Springer

This two-volume book offers a comprehensive treatment of the probabilistic approach to mean field game models and their applications. The book is self-contained in nature and includes original materia

Discriminant Analysis And Statistical Pattern Recognition


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Author by : Geoffrey McLachlan
Languange Used : en
Release Date : 2004-08-04
Publisher by : John Wiley & Sons

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabr

Information Theory Inference And Learning Algorithms


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Author by : David J. C. MacKay
Languange Used : en
Release Date : 2003-09-25
Publisher by : Cambridge University Press

Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.