0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009

0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009

ID:37942460

大小:4.39 MB

页数:246页

时间:2019-06-03

0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009_第1页
0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009_第2页
0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009_第3页
0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009_第4页
0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009_第5页
资源描述:

《0262170051.The.MIT.Press.Dataset.Shift.in.Machine.Learning.Feb.2009》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库

1、EDITORSSCHWAIGHOFER,ANDLAWRENCE,QUIÑONERO-CANDELA,SUGIYAMA,computerscience/machinelearningDATASETSHIFTINMACHINELEARNINGDATASETSHIFTINMACHINELEARNINGEDITEDBYJOAQUINQUIÑONERO-CANDELA,MASASHISUGIYAMA,ANTONSCHWAIGHOFER,DATASETSHIFTINMACHINELEARNINGANDNEILD.LAWRENCEEDITEDBYJOAQUINQUIÑONERO-CAN

2、DELA,MASASHISUGIYAMA,ANTONSCHWAIGHOFER,ANDNEILD.LAWRENCEDatasetshiftisacommonprobleminpredictivemodelingthatoccurswhenthejointdistributionofinputsandoutputsdiffersbetweentrainingandteststages.Covariateshift,aparticularJoaquinQuiñonero-CandelaisaResearcherintheOnlineServicescaseofdatasetsh

3、ift,occurswhenonlytheinputdistributionandAdvertisingGroupatMicrosoftResearchCambridge,UK.changes.Datasetshiftispresentinmostpracticalapplications,MasashiSugiyamaisAssociateProfessorintheDepartmentofComputerScienceattheTokyoInstituteofTechnology.Antonforreasonsrangingfromthebiasintroducedb

4、yexperimentalCONTRIBUTORSSchwaighoferisanAppliedResearcherintheOnlineServicesdesigntotheirreproducibilityofthetestingconditionsatSHAIBEN-DAVID,STEFFENBICKEL,KARSTENBORGWARDT,MICHAELBRÜCKNER,DAVIDCORFIELD,AMIRGLOBERSON,andAdvertisingGroupatMicrosoftResearch,Cambridge,UK.trainingtime.(Anexa

5、mpleisemailspamfiltering,whichmayNeilD.LawrenceisSeniorResearchFellowandMemberoftheARTHURGRETTON,LARSKAIHANSEN,MATTHIASHEIN,JIAYUANHUANG,TAKAFUMIKANAMORI,KLAUS-ROBERTMÜLLER,failtorecognizespamthatdiffersinformfromthespamtheMachineLearningandOptimisationResearchGroupintheSAMROWEIS,NEILRUBEN

6、S,TOBIASSCHEFFER,MARCELSCHMITTFULL,BERNHARDSCHÖLKOPF,HIDETOSHISHIMODAIRA,automaticfilterhasbeenbuilton.)Despitethis,anddespiteSchoolofComputerScienceattheUniversityofManchester.ALEXSMOLA,AMOSSTORKEY,MASASHISUGIYAMA,CHOONHUITEOtheattentiongiventotheapparentlysimilarproblemsofsemi-supervised

7、learningandactivelearning,datasetshifthasreceivedrelativelylittleattentioninthemachinelearningcom-NeuralInformationProcessingseriesTHEMITPRESSMASSACHUSETTSINSTITUTEOFTECHNOLOGYCAMBRIDGE,MASSACHUSETTS02142HTTP://MITPRESS.MIT.EDUmunityuntilrecently.Thisvolumeoffersano

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。
相关文章
更多
相关标签