000			01398nam\a2200373\a\4500
001			57698
005			20260209151655.0
008			260209s2009 nyua b 001 0 eng
020			_a9780387848570 _qhardcover : alk. paper
020			_a9780387848587 _qelectronic
040			_aDLC _cDLC _dBD-DhIUB
082	0	0	_a006.31 _222 _bH356e
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.
490	0		_aSpringer series in statistics, _x0172-7397
504			_aIncludes bibliographical references (p. [699]-727) and indexes.
526			_aCSE _bps _lREF
541			_aRisaam
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.)
942			_2ddc _cBK
999			_c57698 _d57872