| Lectures on the Nearest Neighbor Method Softcover Repri Edition Contributor(s): Biau, Gérard (Author), Devroye, Luc (Author) |
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ISBN: 3319797824 ISBN-13: 9783319797823 Publisher: Springer OUR PRICE: $151.99 Product Type: Paperback - Other Formats Published: March 2019 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - General - Computers | Computer Vision & Pattern Recognition - Computers | Mathematical & Statistical Software |
| Dewey: 006.4 |
| Series: Springer the Data Sciences |
| Physical Information: 0.63" H x 6.14" W x 9.21" (0.94 lbs) 290 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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.
G rard Biau is a professor at Universit Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal). |