Lectures on the Nearest Neighbor Method - Gérard Biau,Luc Devroye
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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 (Pa ... Täielik kirjeldus
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Kirjeldus
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).
Lisateave
| Autor | Gérard Biau, Luc Devroye |
|---|---|
| Kirjastaja | Springer Nature Switzerland |
| Series | Springer Series in the Data Sciences |
| Väljalaskeaasta | 2015 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783319253862 |