000			01410n a2200325#a 4500
001			38747
003			OCoLC
005			20231207115446.0
008			160215t20152015gw a b 001 0 eng d
020			_a9783319253862
020			_a3319253867
020			_a9783319253886
020			_a3319253883
035			_aocn939421550
040			_cIMPA
082			_a519.2 _bB579l
090			_ama2
100	1		_aBiau, Gérard _eauthor. _99840
245	1	0	_aLectures on the nearest neighbor method/ _cGerard Biau, Luc Devroye.
264		1	_aHeidelberg; _aNew York: _bSpringer, _c[2015]
300			_aix, 290 pages: _billustrations; _c25 cm.
490	1		_aSpringer series in the data sciences.
504			_aIncludes bibliographical references (pages 279-285) and index.
520			_a"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 .
650		0	_aNearest neighbor analysis (Statistics) _99841
697			_aMatemática Aplicada 02- _xProbabilidade e Estatística. _923729
700	1		_aDevroye, Luc _eauthor. _940826
830		0	_aSpringer series in the data sciences. _99842
942			_2impa _cBK
999			_c37317 _d37317