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Lectures on the Nearest Neighbor Method

Lectures on the Nearest Neighbor Method

Inhalt

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).   

Bibliografische Angaben

März 2019, 290 Seiten, Springer Series in the Data Sciences, Englisch
Springer Nature EN
978-3-319-79782-3

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Weitere Titel der Reihe: Springer Series in the Data Sciences

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