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Lectures on the Nearest Neighbor Method|Gérard Biau

Lectures on the Nearest Neighbor Method

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Overview

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.

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

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Details

  • ISBN-13: 9783319253862
  • ISBN-10: 3319253867
  • Publisher: Springer
  • Publish Date: December 2015
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.32 pounds
  • Page Count: 290

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