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用于信息检索的代价敏感排序学习算法研究作者：徐君学位授予单位：南开大学参考文献(153条)1.AbeN.ZadroznyB.LangfordJAniterativemethodformulti-classcost-sensitivelearning20042.AndersonJARegressionandorderedcategoricalvariables19843.AndersonJA.PhilipsPRRegression,discriminationandmeasurementmodelsfororderedcategoricalvariables19814.Baeza-YatesR.Ribeiro-NetoBModemInformationRetrieval19995.BergerA.LaffertyJInformationRetrievalasStatisticaltranslation19996.BiochJC.PopovaVRoughSetsandOrdinalClassification20007.BooksteinA.SwansonDProbabilisticModelsforAutomaticIndexing1974(05)8.BoydS.VandenbergheLConvexOptimization20049.BradfordJ.KunzC.KohaviR.Bmnk,C,andBrodley,C.EPruningdecisiontreeswithmisclassificationcosts199810.BrefeldU.GeibelP.WysotzkiFSupportVectorMachineswithExampleDependentCosts200311.BrinS.PageLTheanatomyofalarge-scalehypertextualwebsearchengine199812.BrinkerK.HullermeierECalibratedLabel-Ranking200513.BurgesCJCRankingasLeamingStructuredOutputs200514.BurgesCJCAtutorialonsupportvectormachinesforpatternrecognition1998(02)15.BurgesCJC.ShakedT.RenshawE.Lazier,A,Deeds,M,Hamilton,N,Hullender,GLearningtORankusingGradientDescent200516.Cao-VanK.DeBaetsBGrowingdecisiontreesinanordinalsetting[外文期刊]2003(07)17.ChanP.StolfoSTowardscalablelearningwithnon-uniformclassandcostdistributions199818.ChenM.HearstM.HongJ.Lin,JCha-Cha:Asystemfororganizingintranetsearchresults199919.ChuW.GhahramaniZGaussianprocessesforordinalregression200520.ChuW.GhahramaniZExtensionsofGaussianProcessesforRanking:Semi-SupervisedandActiveLearning200521.ChuW.KeerthiSNewapproachestosupportvectorordinalregression22.CooperWS.GeyFC.DabneyDPProbabilisticRetrievalBasedonStagedLogisticRegression199223.CrammerK.SingerYPrankingwithranking200124.CraswellN.HawkingD.VercoustreA.wilkins,PPNOPTICExpert:SearchingforExpertsnotjustforDocuments200125.CristianiniN.Shawe-TaylorJAnIntroductiontoSupportVectorMachinesanOtherKernel-basedLearningMethods200026.Cronen-TownsendS.ZhouY.CroftWBPredictingqueryperformance200227.deMoraesA.DunsmoreIRPredictivecomparisonsinordinalmodels1995(08)28.DomingosPMetaCost:Ageneralmethodformakingclassifierscost-sensitive199929.DrummondC.HolteRCExploitingthecost(in)sensitivityofdecisiontreesplittingcriteria200030.ElkanCTheFoundationsofCost-SensitiveLearning200131.FaginR.KumarR.McCurleyKS.Novak,J,Sivakumar,D,Tomlin,J.A,andWilliamson.D.PSearchingtheworkplaceweb200332.FahrmeirL.TutzGMultivariateStatisticalModellingBasedonGeneralizedLinearModels199433.FanW.StolfoSJ.ZhangJ.Chan,P.KAda-Cost:misclassificationcost-sensitiveboosting199934.FoxEACharacterizationoftwonewexperimentalcollectionsincomputerandinformationsciencecontainingtextualandbibliographicconcepts[TechnicalReport83-561,CornellUniversity,Ithaca,NY]198335.FrankE.HallMASimpleApproachtoOrdinalClassification200136.FuhrNProbabilisticmodelsininformationretrieval1992(03)37.FumeraG.RoliFCost-sensitivelearninginSupportVectorMachines200238.GaoJ.QiH.XiaX.NieJLinearDiscriminantModelforInformationRetrieval200539.GarfieldEATributeToCalvinNMooersAPioneerOfInformationRetrieval1997(06)40.GeibelP.WysotzkiFPerceptronBasedLearningwithExample(B)ependentandNoisyCosts200341.GeyFCInferringprobabilityofrelevanceusingthemethodoflogisticregression199442.GouReCNoteonfreelunchesandcross-validation199743.GrangierD.BengioSExploitingHyperlinkstoLearnaRetrievalModel200544.GrossmanDA.FriederOInformationRetrieval:AlgorithmsandHeuristics199845.HarringtonEOnlineranking/collaborativefilteringusingthePerceptronalgorithm200346.HarterSPAProbabilisticApproachtoAutomaticKeywordIndexing,PartI.OntheDistributionofSpecialtyWordsinaTechnicalLiterature1975(04)47.HarterSPAprobabilisticapproachtoautomatickeywordindexing.PartII.Analgorithmforprobabilisticindexing1975(04)48.Har-PeledS.RothD.ZimakDConstraintclassification:Anewapproachtomulti-classclassificationandranking200249.HastieT.TibshiraniR.FriedmanJTheElementsofStatisticalLearning200150.HawkingDChallengesinEnterpriseSearch51.HawkingD.CrasswellN.CrimminsF.Upstill,TIntranetsearch:Whatworksandwhatdoesn't200252.HaykinSNeuralNetworks:AComprehensiveFoundation199953.HerbirchR.GraepelT.Bollmann-SdorraP.Obermayer,KLearningPreferenceRelationsforInformationRetrieval199854.HerbrichR.GraepelT.ObermayerKLargeMarginRankBoundariesforOrdinalRegression200055.HerbrichR.GraepelT.ObermayerKRegressionModelsforOrdinalData:AMachineLearningApproach[ReportTR99-3,DepartmentofComputerScience,TechnicalUniversityofBerlin]199956.HerbrichR.GraepelT.ObermayerKSupportvectorlearningforordinalregression199957.HerbrichR.KeilbachM.GraepelT.Bollmann-SdorraPandObermayerKNeuralnetworksineconomics:Background,applications,andnewdevelopments199958.HiemstraDAlinguisticallymotivatedprobabilisticmodelofinformationretrieval199859.HershWR.BuckleyC.LeoneTJ.HickamD.HOHSUMED:Aninteractiveretrievalevaluationandnewlargetestcollectionforresearch199460.HershWR.HickamDHUseofamulti-applicationcomputerworkstationinaclinicalsetting199461.HuberPJRobustStatistics198162.JarvelinK.KekalainenJCumulatedGain-basedEvaluationofIRTechniques[外文期刊]2002(04)63.JinR.HauptmannAG.ZhaiCTitleLanguageModelfo