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Lectures on the Nearest Neighbor Method
Paperback
Series: Springer the Data Sciences
ApplicationsGeneral ComputersProbability & Statistics
ISBN13: 9783319797823
Publisher: Springer
Published: Mar 21 2019
Pages: 290
Weight: 0.94
Height: 0.63 Width: 6.14 Depth: 9.21
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).
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