Advances in Large Margin Classifiers

Advances in Large Margin Classifiers

ID:40373639

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页数:423页

时间:2019-08-01

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1、OFRELATEDINTERESTAdvancesinKernelMethodsSupportVectorLearningADVANCESINLARGEMARGINCLASSIFIERSeditedbyBernhardSchölkopf,ChristopherJ.C.Burges,andAlexanderJ.SmolaADVANCESINTheSupportVectorMachineisapowerfulnewlearningalgorithmforsolvingaADVANCESINLARGEMARGINvarietyoflearningan

2、dfunctionestimationproblems,suchaspatternrecognition,regressionestimation,andoperatorinversion.CLASSIFIERSTheimpetusforthiscollectionwasaworkshoponSupportSMOLALARGEMARGINVectorMachinesheldatthe1997NIPSconference.TheeditedbyAlexanderJ.Smola,PeterJ.Bartlett,contributors,bothun

3、iversityresearchersandengineersBernhardSchölkopf,andDaleSchuurmansdevelopingapplicationsforthecorporateworld,.CLASSIFIERSTheconceptoflargemarginsisaunifyingprincipleformaWho’sWhoofthisexcitingnewarea.BARTLETTfortheanalysisofmanydifferentapproachestotheclassificationofdatafro

4、mexamples,includingboost-ing,mathematicalprogramming,neuralnetworks,andsupportvectormachines.Thefactthatitisthemargin,orconfidencelevel,ofaclassification—that.is,ascaleparameter—ratherthanarawtraininger-SCHÖLKOPFrorthatmattershasbecomeakeytoolfordealingwithclassifiers.Thisbo

5、okshowshowthisideaap-pliestoboththetheoreticalanalysisandthedesignofalgorithms.Thebookprovidesanoverviewofrecentdevelop-.mentsinlargemarginclassifiers,examinesconnec-SCHUURMANStionswithothermethods(e.g.,Bayesianinference),andidentifiesstrengthsandweaknessesofthemethod,aswell

6、asdirectionsforfutureresearch.AmongthecontributorsareManfredOpper,PulsedNeuralNetworksEDITEDBYVladimirVapnik,andGraceWahba.editedbyWolfgangMaassandChristopherM.BishopMostpracticalapplicationsofartificialneuralnetworksarebasedonaALEXANDERJ.SMOLAAlexanderJ.Smolaisaresearcherin

7、theDepart-computationalmodelinvolvingthepropagationofcontinuousvari-ablesfromoneprocessingunittothenext.Inrecentyears,dataEDITORSPETERL.BARTLETTmentofEngineeringandRSISE,AustralianNationalUniversity.PeterL.BartlettisSeniorFellow,Com-fromneurobiologicalexperimentshavemadeitin

8、creasinglyBERNHARDSCHÖLKOPFputerSciencesLaboratory,AustralianNationalUni-cl

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