正文描述:《Advances in Large Margin Classifiers》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
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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