Lectures on the nearest neighbor method/ Gerard Biau, Luc Devroye.

By:

Biau, Gérard [author.]

Contributor(s):

Devroye, Luc [author.]

Series: Springer series in the data sciencesPublisher: Heidelberg; New York: Springer, [2015]Description: ix, 290 pages: illustrations; 25 cmISBN:

9783319253862
3319253867
9783319253886
3319253883

Subject(s):

DDC classification:

519.2 B579l

Summary: "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." -- Back cover .

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	Castorina Estantes Abertas (Open Shelves)	Livros (Books)	519.2 B579l 2015 IMPA (Browse shelf(Opens below))	1	Available		39063000687114

Includes bibliographical references (pages 279-285) and index.

"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." -- Back cover .

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