Springer Series in the Data Sciences

Biau, Gérard; Devroye, Luc

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).   

Details

Published by: Springer

Publication Date: 2019-03-21

Format: Paperback

ISBN-13: 9783319797823

DOI: 10.1007/978-3-319-25388-6

Dimensions: 235cm x155cm

Pages: 290