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 .

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

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

Browsing Castorina shelves, Shelving location: Estantes Abertas (Open Shelves), Collection: Livros (Books) Close shelf browser (Hides shelf browser)

Previous		No cover image available No cover image available	No cover image available No cover image available					Next
Previous	519.2 B575n 1976 IMPA Normal approximation and asymptotic expansions/	519.2 B575p 1970 IMPA Probabilistic methods in applied mathematics/	519.2 B575p 1970 IMPA Probabilistic methods in applied mathematics/	519.2 B579l 2015 IMPA Lectures on the nearest neighbor method/	519.2 B583s 2002 IMPA Stochastic integration with jumps/	519.2 B598p 1979 IMPA Probability and measure/	519.2 B598p 1979 IMPA Probability and measure/	Next

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 .

There are no comments on this title.

to post a comment.