Lectures on the Nearest Neighbor Method

Lectures on the Nearest Neighbor Method
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This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the... mehr
Produktinformationen "Lectures on the Nearest Neighbor Method"
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).
Einband/Bindung: Buch
Seitenzahl: 300
Sprache: Englisch
Erscheinungsjahr: 2015
Autor: Luc Devroye
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