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Titlebook: Lectures on the Nearest Neighbor Method; Gérard Biau,Luc Devroye Book 2015 Springer International Publishing Switzerland 2015 Density Esti

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書目名稱Lectures on the Nearest Neighbor Method
編輯Gérard Biau,Luc Devroye
視頻videohttp://file.papertrans.cn/584/583632/583632.mp4
概述Presents a rigorous overview of nearest neighbor methods.Many different components covered: statistical, probabilistic, combinatorial, and geometric ideas.Extensive appendix material provided
叢書名稱Springer Series in the Data Sciences
圖書封面Titlebook: Lectures on the Nearest Neighbor Method;  Gérard Biau,Luc Devroye Book 2015 Springer International Publishing Switzerland 2015 Density Esti
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
關(guān)鍵詞Density Estimation; Nearest Neighbor Method; Order Statistics; Regression Estimation; Stone‘s Theorem
版次1
doihttps://doi.org/10.1007/978-3-319-25388-6
isbn_softcover978-3-319-79782-3
isbn_ebook978-3-319-25388-6Series ISSN 2365-5674 Series E-ISSN 2365-5682
issn_series 2365-5674
copyrightSpringer International Publishing Switzerland 2015
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沙發(fā)
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The choice of a nearest neighbor estimateimate is rich as a class follows not only from the universality, but also from the fact that it achieves rates of convergence for various criteria that are close to the best possible over certain classes of distributions on (.,?. ), a property that is studied in minimax theory (Stone, 1980, 1982).
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2365-5674 eometric ideas.Extensive appendix material provided.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, combinat
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發(fā)表于 2025-3-22 14:50:09 | 只看該作者
Book 2015one 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
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978-3-319-79782-3Springer International Publishing Switzerland 2015
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