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1、PROBABILISTICGRAPHICALMODELSPRINCIPLESANDTECHNIQUESDAPHNEKOLLERANDNIRFRIEDMANProbabilisticGraphicalModelsAdaptiveComputationandMachineLearningThomasDietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsBioinformatics:TheMachineLearningA
2、pproach,PierreBaldiandSørenBrunakReinforcementLearning:AnIntroduction,RichardS.SuttonandAndrewG.BartoGraphicalModelsforMachineLearningandDigitalCommunication,BrendanJ.FreyLearninginGraphicalModels,MichaelI.JordanCausation,Prediction,andSearch,2nded.,PeterSpirtes,ClarkGlymour,and
3、RichardScheinesPrinciplesofDataMining,DavidHand,HeikkiMannila,andPadhraicSmythBioinformatics:TheMachineLearningApproach,2nded.,PierreBaldiandSørenBrunakLearningKernelClassifiers:TheoryandAlgorithms,RalfHerbrichLearningwithKernels:SupportVectorMachines,Regularization,Optimization,
4、andBeyond,Bern-hardSchölkopfandAlexanderJ.SmolaIntroductiontoMachineLearning,EthemAlpaydinGaussianProcessesforMachineLearning,CarlEdwardRasmussenandChristopherK.I.WilliamsSemi-SupervisedLearning,OlivierChapelle,BernhardSchölkopf,andAlexanderZien,eds.TheMinimumDescriptionLengthPr
5、inciple,PeterD.GrünwaldIntroductiontoStatisticalRelationalLearning,LiseGetoorandBenTaskar,eds.ProbabilisticGraphicalModels:PrinciplesandTechniques,DaphneKollerandNirFriedmanProbabilisticGraphicalModelsPrinciplesandTechniquesDaphneKollerNirFriedmanTheMITPressCambridge,Massachuset
6、tsLondon,England©2009MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording,orinformationstorageandretrieval)withoutpermissioninwritingfromthepublisher.Forinformationaboutspecia
7、lquantitydiscounts,pleaseemailspecial_sales@mitpress.mit.eduThisbookwassetbytheauthorsinLATEX2.PrintedandboundintheUnitedStatesofAmerica.LibraryofCongressCataloging-in-PublicationDataKoller,Daphne.ProbabilisticGraphicalModels:PrinciplesandTechniques/DaphneKollerandNirFriedman.p
8、.cm.–(Adaptivecomputationandmachinelearning)Inc