01450cam a22003855a 4500952014300000999001700143001000900160003000400169005001700173008004100190010001700231020004300248020003100291040001800322050002200340082002200362100002500384245013700409250001200546260003800558300004700596490004600643504006800689650002200757650002900779650001700808650002000825650001500845650001700860650003200877700002900909700003900938906004500977942004201022  00102ddc40708DATAaMESbMEScCOMPd2022-09-26e53g770.00l0o006.31 HAS/Ep41583r2022-09-26 00:00:00v770.00w2022-09-26yBKzGL33R2  c41539d4153915512507OSt20220922105807.0081106s2009    nyua     b    001 0 eng    a  2008941148  a9780387848570 (hardcover : alk. paper)  a9780387848587 (electronic)  aDLCcDLCdDLC00aQ325.5b.H39 200900a006.31222bHAS/E1 aHastie, Trevor9911614aThe elements of statistical learning :bdata mining, inference, and prediction /cTrevor Hastie, Robert Tibshirani, Jerome Friedman.  a2nd ed.  aNew York, NY :bSpringer,cc2009.  axxii, 745 p. :bill. (some col.) ;c25 cm.0 aSpringer series in statistics,x0172-7397  aIncludes bibliographical references (p. [699]-727) and indexes. 0aMachine learning. 0aStatisticsxMethodology. 0aData mining. 0aBioinformatics. 0aInference. 0aForecasting. 0aComputational intelligence.1 aTibshirani, Robert991171 aFriedman, J. H.q(Jerome H.)99118  a7bcbccorignewd2eepcnf20gy-gencatlg  2ddccBKh006.31iHAS/Ek006.31mHAS/E