An_introduction_to_machine_learning_ethem_Alpaydin.pdf

An_introduction_to_machine_learning_ethem_Alpaydin.pdf

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1、IntroductiontoMachineLearningSecondEditionAdaptiveComputationandMachineLearningThomasDietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsAcompletelistofbookspublishedinTheAdaptiveComputationandMachineLearningseriesappearsatthebackofthisbook.Introducti

2、ontoMachineLearningSecondEditionEthemAlpaydınTheMITPressCambridge,MassachusettsLondon,England©2010MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording,orinforma-tionstorageandretrieval)without

3、permissioninwritingfromthepublisher.Forinformationaboutspecialquantitydiscounts,pleaseemailspecial_sales@mitpress.mit.edu.Typesetin10/13LucidaBrightbytheauthorusingLATEX2ε.PrintedandboundintheUnitedStatesofAmerica.LibraryofCongressCataloging-in-PublicationInformationAlpaydin,Ethem.Introductionto

4、machinelearning/EthemAlpaydin.—2nded.p.cm.Includesbibliographicalreferencesandindex.ISBN978-0-262-01243-0(hardcover:alk.paper)1.Machinelearning.I.TitleQ325.5.A462010006.3’1—dc222009013169CIP10987654321BriefContents1Introduction12SupervisedLearning213BayesianDecisionTheory474ParametricMethods615M

5、ultivariateMethods876DimensionalityReduction1097Clustering1438NonparametricMethods1639DecisionTrees18510LinearDiscrimination20911MultilayerPerceptrons23312LocalModels27913KernelMachines30914BayesianEstimation34115HiddenMarkovModels36316GraphicalModels38717CombiningMultipleLearners41918Reinforcem

6、entLearning44719DesignandAnalysisofMachineLearningExperiments475AProbability517ContentsSeriesForewordxviiFiguresxixTablesxxixPrefacexxxiAcknowledgmentsxxxiiiNotesfortheSecondEditionxxxvNotationsxxxix1Introduction11.1WhatIsMachineLearning?11.2ExamplesofMachineLearningApplications41.2.1LearningAss

7、ociations41.2.2Classification51.2.3Regression91.2.4UnsupervisedLearning111.2.5ReinforcementLearning131.3Notes141.4RelevantResources161.5Exercises181.6References192SupervisedLearning212.1LearningaClassfromExamples21viiiContent

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