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ID:40984716
大小:1.08 MB
页数:68页
时间:2019-08-12
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1、TrendorNoTrend:ANovelNonparametricMethodforClassifyingTimeSeriesbyStanislavNikolovS.B.,MassachusettsInstituteofTechnology(2011)SubmittedtotheDepartmentofElectricalEngineeringandComputerScienceinpartialfulfillmentoftherequirementsforthedegreeofMasterofEngineeringinElectricalEngine
2、eringandComputerScienceattheMASSACHUSETTSINSTITUTEOFTECHNOLOGYSeptember2012cMassachusettsInstituteofTechnology2012.Allrightsreserved.Author..............................................................DepartmentofElectricalEngineeringandComputerScienceAugust15,2012Certifiedby....
3、......................................................Prof.DevavratShahJamiesonCareerDevelopmentAssociateProfessorofElectricalEngineeringandComputerScienceThesisSupervisorAugust15,2012Certifiedby..........................................................Dr.SatanjeevBanerjeeEnginee
4、r,TwitterInc.ThesisCo-SupervisorAugust15,2012Acceptedby.........................................................Prof.DennisM.FreemanChairman,MastersofEngineeringThesisCommittee2TrendorNoTrend:ANovelNonparametricMethodforClassifyingTimeSeriesbyStanislavNikolovSubmittedtotheDepart
5、mentofElectricalEngineeringandComputerScienceonAugust15,2012,inpartialfulfillmentoftherequirementsforthedegreeofMasterofEngineeringinElectricalEngineeringandComputerScienceAbstractInsupervisedclassification,oneattemptstolearnamodelofhowobjectsmaptolabelsbyselectingthebestmodelfrom
6、somemodelspace.Thechoiceofmodelspaceencodesassumptionsabouttheproblem.Weproposeasettingformodelspecificationandselectioninsupervisedlearningbasedonalatentsourcemodel.Inthissetting,wespecifythemodelbyasmallcollectionofunknownlatentsourcesandpositthatthereisastochasticmodelrelating
7、latentsourcesandobservations.Withthissettinginmind,weproposeanonparametricclassificationmethodthatisentirelyunawareofthestructureoftheselatentsources.Instead,ourmethodreliesonthedataasaproxyfortheunknownlatentsources.Weperformclassificationbycomputingtheconditionalclassprobabiliti
8、esforanobservationbasedonourstochasticmodel.Thi
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