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Beschreibung
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
| Verlag | Springer International Publishing |
| Ersterscheinung | 15. Dezember 2015 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 617 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783319253862 |
| Auflage | 1st ed. 2015 |
| Seiten | 290 |