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1、ThisispagevPrinter:OpaquethisToourparents:ValerieandPatrickHastieVeraandSamiTibshiraniFlorenceandHarryFriedmanandtoourfamilies:Samantha,Timothy,andLyndaCharlie,Ryan,Julie,andCherylMelanie,Dora,Monika,andIldikoviThisispageviiPrinter:OpaquethisPrefacetotheSecondEdition
2、InGodwetrust,allothersbringdata.{WilliamEdwardsDeming(1900-1993)1Wehavebeengrati¯edbythepopularityofthe¯rsteditionofTheElementsofStatisticalLearning.This,alongwiththefastpaceofresearchinthestatisticallearning¯eld,motivatedustoupdateourbookwithasecondedition.Wehaveadd
3、edfournewchaptersandupdatedsomeoftheexistingchapters.Becausemanyreadersarefamiliarwiththelayoutofthe¯rstedition,wehavetriedtochangeitaslittleaspossible.Hereisasummaryofthemainchanges:1OntheWeb,thisquotehasbeenwidelyattributedtobothDemingandRobertW.Hayden;howeverProfe
4、ssorHaydentoldusthathecanclaimnocreditforthisquote,andironicallywecould¯ndnodata"con¯rmingthatDemingactuallysaidthis.viiiPrefacetotheSecondEditionChapterWhat'snew1.Introduction2.OverviewofSupervisedLearning3.LinearMethodsforRegressionLARalgorithmandgeneralizationsof
5、thelasso4.LinearMethodsforClassi¯cationLassopathforlogisticregression5.BasisExpansionsandRegulariza-AdditionalillustrationsofRKHStion6.KernelSmoothingMethods7.ModelAssessmentandSelectionStrengthsandpitfallsofcross-validation8.ModelInferenceandAveraging9.AdditiveModel
6、s,Trees,andRelatedMethods10.BoostingandAdditiveTreesNewexamplefromecology;somematerialsplito®toChapter16.11.NeuralNetworksBayesianneuralnetsandtheNIPS2003challenge12.SupportVectorMachinesandPathalgorithmforSVMclassi¯erFlexibleDiscriminants13.PrototypeMethodsandNeares
7、t-Neighbors14.UnsupervisedLearningSpectralclustering,kernelPCA,sparsePCA,non-negativematrixfactorizationarchetypalanalysis,nonlineardimensionreduction,Googlepagerankalgorithm,adirectapproachtoICA15.RandomForestsNew16.EnsembleLearningNew17.UndirectedGraphicalModelsNew
8、18.High-DimensionalProblemsNewSomefurthernotes:²Our¯rsteditionwasunfriendlytocolorblindreaders;inparticular,wetendedtofavorred/gree
