000			01671cam a22004695a 4500
001			15512507
003			OSt
005			20260507173753.0
008			081106s2009 nyua b 001 0 eng
010			_a 2008941148
020			_a9780387848570 _qhardcover : alk. paper
020			_a9780387848587 _qelectronic
035			_a15512507
040			_aDLC _cDLC _dDLC
050	0	0	_aQ325.5 _b.H39 2009
082	0	0	_a006.31 HAS _222
092			_20
100	1		_aHastie, Trevor.
245	1	4	_aThe elements of statistical learning : _bdata mining, inference, and prediction / _cTrevor Hastie, Robert Tibshirani, Jerome Friedman.
250			_a2nd ed.
260			_aNew York, NY : _bSpringer, _cc2009.
300			_axxii, 745 p. : _bill. (some col.) ; _c25 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aSpringer series in statistics, _x0172-7397
504			_aIncludes bibliographical references (p. [699]-727) and indexes.
650		0	_aMachine learning.
650		0	_aStatistics _xMethodology.
650		0	_aData mining.
650		0	_aBioinformatics.
650		0	_aInference.
650		0	_aForecasting.
650		0	_aComputational intelligence.
700	1		_aTibshirani, Robert.
700	1		_aFriedman, J. H. _q(Jerome H.)
887			_2CamTech Library.
906			_a7 _bcbc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c2552 _d2552