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1、Page1of2AnIntroductiontoSupportVectorMachinesandOtherKernel-BasedLearningMethodsNelloCristianiniJohnShawe-TaylorCAMBRIDGEUNIVERSITYPRESSPUBLISHEDBYTHEPRESSSYNDICATEOFTHEUNIVERSITYOFCAMBRIDGEThePittBuilding,TrumpingtonStreet,Cambridge,UnitedKingdomCAMBRIDGEUNIVERSITYPRESSTheE
2、dinburghBuilding,CambridgeCB22RU,UK40West20thStreet,NewYork,NY10011-4211,USA477WilliamstownRoad,PortMelbourne,VIC3207,AustraliaRuizdeAlarcón13,28014Madrid,SpainDockHouse,TheWaterfront,CapeTown8001,SouthAfricahttp://www.cambridge.orgCopyright©2000CambridgeUniversityPressThisb
3、ookisincopyright.Subjecttostatutoryexceptionandtotheprovisionsofrelevantcollectivelicensingagreements,noreproductionofanypartmaytakeplacewithoutthewrittenpermissionofCambridgeUniversityPress.Firstpublished2000Reprinted2000(withcorrections),2001(twice),2002(withcorrections),2
4、003TypefaceTimes10/12pt.SystemLATEX2[EPC]εAcataloguerecordforthisbookisavailablefromtheBritishLibraryLibraryofCongressCataloguinginPublicationdataavailable0521780195AnIntroductiontoSupportVectorMachinesThisbookisthefirstcomprehensiveintroductiontoSupportVectorMachines(SVMs),
5、anewgenerationlearningsystembasedonrecentadvancesinstatisticallearningtheory.SVMsdeliverstate-of-the-artperformanceinreal-worldapplicationssuchastextcategorisation,hand-writtencharacterrecognition,imageclassification,biosequenceanalysis,etc.Theirfirstintroductionintheearly'9
6、0sledtoanexplosionofapplicationsanddeepeningtheoreticalanalysis,thathasnowestablishedSupportVectorMachinesasoneofthestandardtoolsformachinelearninganddatamining.Studentswillfindthebookbothstimulatingandaccessible,whilepractitionerswillbeguidedsmoothlythroughthematerialrequir
7、edforagoodgraspofthetheoryandapplicationofthesetechniques.Theconceptsareintroducedgraduallyinaccessibleandself-containedstages,whileineachstagethepresentationisrigorousandthorough.Pointerstorelevantliteratureandwebsitescontainingsoftwareensurethatitformsanidealstartingpointf
8、orfurtherstudy.Page2of2Equallythebookwillequipthepractitionertoapplythetech
