Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences) - Hardcover

Biau, Gérard; Devroye, Luc

 
9783319253862: Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

Synopsis

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).   

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About the Author

    

From the Back Cover

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).

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9783319797823: Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

Featured Edition

ISBN 10:  3319797824 ISBN 13:  9783319797823
Publisher: Springer, 2019
Softcover