Ebook: Lectures on the Nearest Neighbor Method
Author: Gérard Biau Luc Devroye (auth.)
- Tags: Probability Theory and Stochastic Processes, Pattern Recognition, Statistics and Computing/Statistics Programs
- Series: Springer Series in the Data Sciences
- Year: 2015
- Publisher: Springer International Publishing
- Edition: 1
- Language: English
- pdf
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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