书目名称 | Lectures on the Nearest Neighbor Method |
编辑 | Gérard Biau,Luc Devroye |
视频video | |
概述 | Presents a rigorous overview of nearest neighbor methods.Many different components covered: statistical, probabilistic, combinatorial, and geometric ideas.Extensive appendix material provided |
丛书名称 | Springer Series in the Data Sciences |
图书封面 |  |
描述 | .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). . |
出版日期 | Book 2015 |
关键词 | Density Estimation; Nearest Neighbor Method; Order Statistics; Regression Estimation; Stone‘s Theorem |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-319-25388-6 |
isbn_softcover | 978-3-319-79782-3 |
isbn_ebook | 978-3-319-25388-6Series ISSN 2365-5674 Series E-ISSN 2365-5682 |
issn_series | 2365-5674 |
copyright | Springer International Publishing Switzerland 2015 |