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Springer Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

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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. 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).

Product Specifications

Format
hardcover
Domain
Amazon UK
Publication Date
15 December 2015
Listed Since
03 September 2015

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