Lectures on the Nearest Neighbor Method

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, analyzi...

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Main Author: Biau, Gérard.
Corporate Author: SpringerLink (Online service)
Other Authors: Devroye, Luc.
Format: Electronic
Language: English
Published: Cham : Springer International Publishing : 2015.
Edition: 1st ed. 2015.
Series: Springer Series in the Data Sciences,
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-25388-6
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Summary: 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).   .
Physical Description: IX, 290 p. 4 illus. in color. online resource.
ISBN: 9783319253886
ISSN: 2365-5674