Lectures on the Nearest Neighbor Method
Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Mathematics, Statistics
| Author: | Gérard Biau, Luc Devroye | ISBN: | 9783319253886 |
| Publisher: | Springer International Publishing | Publication: | December 8, 2015 |
| Imprint: | Springer | Language: | English |
| Author: | Gérard Biau, Luc Devroye |
| ISBN: | 9783319253886 |
| Publisher: | Springer International Publishing |
| Publication: | December 8, 2015 |
| Imprint: | Springer |
| Language: | English |
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).
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).
