资源描述：
《learning kernel classfiers.pdf》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、LearningKernelClassifiersTheoryandAlgorithmsRalfHerbrichTheMITPressCambridge,MassachusettsLondon,EnglandAdaptiveComputationandMachineLearningThomasG.Dietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsBioinformatics:TheMa
2、chineLearningApproach,PierreBaldiandSørenBrunakReinforcementLearning:AnIntroduction,RichardS.SuttonandAndrewG.BartoGraphicalModelsforMachineLearningandDigitalCommunication,BrendanJ.FreyLearninginGraphicalModels,MichaelI.JordanCausation,Prediction,andSearch,seconded
3、ition,PeterSpirtes,ClarkGlymour,andRichardScheinesPrinciplesofDataMining,DavidHand,HeikkiMannilla,andPadhraicSmythBioinformatics:TheMachineLearningApproach,secondedition,PierreBaldiandSørenBrunakLearningKernelClassifiers:TheoryandAlgorithms,RalfHerbrichLearningwithK
4、ernels:SupportVectorMachines,Regularization,Optimization,andBeyond,BernhardSchölkopfandAlexanderJ.Smolac2002MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording
5、,orinformationstorageandretrieval)withoutpermissioninwritingfromthepublisher.ThisbookwassetinTimesRomanbytheauthorusingtheLATEXdocumentpreparationsystemandwasprintedandboundintheUnitedStatesofAmerica.LibraryofCongressCataloging-in-PublicationDataHerbrich,Ralf.Learn
6、ingkernelclassifiers:theoryandalgorithms/RalfHerbrich.p.cm.—(Adaptivecomputationandmachinelearning)Includesbibliographicalreferencesandindex.ISBN0-262-08306-X(hc.:alk.paper)1.Machinelearning.2.Algorithms.I.Title.II.Series.Q325.5.H482001006.31—dc212001044445Tomywife
7、,JeannetteTherearemanybranchesoflearningtheorythathavenotyetbeenanalyzedandthatareimportantbothforunderstandingthephenomenonoflearningandforpracticalapplications.Theyarewaitingfortheirresearchers.—VladimirVapnikGeometryisilluminating;probabilitytheoryispowerful.—Pá
8、lRujánContentsSeriesForewordxvPrefacexvii1Introduction11.1TheLearningProblemand(Statistical)Inference11.1.1SupervisedLearning...............31.1.
