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. Gerard Biau is a professor at Universite
Pierre et Marie Curie (Paris). Luc Devroye is a professor at the
School of Computer Science at McGill University (Montreal).
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