Lectures on the Nearest Neighbor Method (Hardcover, 1st ed. 2015)

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

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Series in the Data Sciences
Release date:	December 2015
First published:	2015
Authors:	Gerard Biau • Luc Devroye
Dimensions:	235 x 155 x 22mm (L x W x T)
Format:	Hardcover
Pages:	290
Edition:	1st ed. 2015
ISBN-13:	978-3-319-25386-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-319-25386-7
Barcode:	9783319253862

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