Lectures on the Nearest Neighbor Method

Lectures on the Nearest Neighbor Method

EnglishHardbackPrint on demand
Biau, Gérard
Springer, Berlin
EAN: 9783319253862
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Detailed information

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.

Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).   

EAN 9783319253862
ISBN 3319253867
Binding Hardback
Publisher Springer, Berlin
Publication date December 15, 2015
Pages 290
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors Biau, Gerard; Devroye Luc
Illustrations IX, 290 p. 4 illus. in color.
Edition 1st ed. 2015
Series Springer Series in the Data Sciences
Manufacturer information
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