[PDF.15sq] Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

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

[PDF.qx84] Lectures on the Nearest Neighbor Method (Springer Series in the Data Sciences)

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 | #3046800 in Books |  2015-12-09 | Original language:English | PDF # 1 |  9.21 x.69 x6.14l,.0 | File type: PDF | 290 pages

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|| |“This book deals with different aspects regarding this approach, starting with the standard k-nearest neighbor model, and passing through the weighted k-nearest neighbor model, estimations for entropy, regression functions etc. … It is intended fo

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 i...

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