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1、Job#:325659pDate:11-03-2216:24:06Hastie•SpringerSeriesinStatisticsSpringerSeriesinStatistics•TibshiraniFriedmanTrevorHastieTrevorHastie•RobertTibshirani•JeromeFriedmanRobertTibshiraniTheElementsofStatisticalLearningJeromeFriedmanDuringthepastdecadetherehasbeenanex
2、plosionincomputationandinformationtech-nology.Withithavecomevastamountsofdatainavarietyoffieldssuchasmedicine,biolo-gy,finance,andmarketing.Thechallengeofunderstandingthesedatahasledtothedevel-TheElementsofopmentofnewtoolsinthefieldofstatistics,andspawnednewareass
3、uchasdatamining,machinelearning,andbioinformatics.ManyofthesetoolshavecommonunderpinningsbutTheElementsofStatisticalLearningareoftenexpressedwithdifferentterminology.Thisbookdescribestheimportantideasintheseareasinacommonconceptualframework.Whiletheapproachisstati
4、stical,theemphasisisonconceptsratherthanmathematics.Manyexamplesaregiven,withaliberalStatisticalLearninguseofcolorgraphics.Itshouldbeavaluableresourceforstatisticiansandanyoneinterestedindatamininginscienceorindustry.Thebook’scoverageisbroad,fromsupervisedlearning
5、(prediction)tounsupervisedlearning.Themanytopicsincludeneuralnetworks,supportvectormachines,classificationtreesandboosting—thefirstcomprehensivetreatmentofthisDataMining,Inference,andPredictiontopicinanybook.Thismajorneweditionfeaturesmanytopicsnotcoveredintheorig
6、inal,includinggraphicalmodels,randomforests,ensemblemethods,leastangleregressionandpathalgorithmsforthelasso,non-negativematrixfactorization,andspectralclustering.Thereisalsoachapteronmethodsfor“wide”data(pbiggerthann),includingmultipletestingandfalsediscoveryrate
7、s.TrevorHastie,RobertTibshirani,andJeromeFriedmanareprofessorsofstatisticsatSecondEditionStanfordUniversity.Theyareprominentresearchersinthisarea:HastieandTibshiranidevelopedgeneralizedadditivemodelsandwroteapopularbookofthattitle.Hastieco-developedmuchofthestatis
8、ticalmodelingsoftwareandenvironmentinR/S-PLUSandinventedprincipalcurvesandsurfaces.Tibshiraniproposedthelassoandisco-authoroftheverysuccessfulAnIntroduc