Lectures on the Nearest Neighbor Method |
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| Author:
| Biau, Gerard
Devroye, Luc |
| Series title: | Springer Series in the Data Sciences Ser. |
| ISBN: | 978-3-319-25386-2 |
| Publication Date: | Dec 2015 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Springer |
| Book Format: | Hardback |
| List Price: | USD $79.99 |
Book Description:
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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...
More Description
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).