{
"item_title" : "Lectures on the Nearest Neighbor Method",
"item_author" : [" Gérard Biau", "Luc Devroye "],
"item_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.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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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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