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introduction to machine learning (alpaydin, 2009)

introduction to machine learning (alpaydin, 2009)

ID：34627501

大小：3.52 MB

页数：579页

时间：2019-03-08

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1、IntroductiontoMachineLearningSecondEditionAdaptiveComputationandMachineLearningThomasDietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsAcompletelistofbookspublishedinTheAdaptiveComputationandMachineLearningseriesappearsatthebackofthi

2、sbook.IntroductiontoMachineLearningSecondEditionEthemAlpaydınTheMITPressCambridge,MassachusettsLondon,England©2010MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording,orinforma

3、-tionstorageandretrieval)withoutpermissioninwritingfromthepublisher.Forinformationaboutspecialquantitydiscounts,pleaseemailspecial_sales@mitpress.mit.edu.Typesetin10/13LucidaBrightbytheauthorusingLATEX2ε.PrintedandboundintheUnitedStatesofAmerica.LibraryofCongressCataloging-in-Pub

4、licationInformationAlpaydin,Ethem.Introductiontomachinelearning/EthemAlpaydin.—2nded.p.cm.Includesbibliographicalreferencesandindex.ISBN978-0-262-01243-0(hardcover:alk.paper)1.Machinelearning.I.TitleQ325.5.A462010006.3’1—dc222009013169CIP10987654321BriefContents1Introduction12Sup

5、ervisedLearning213BayesianDecisionTheory474ParametricMethods615MultivariateMethods876DimensionalityReduction1097Clustering1438NonparametricMethods1639DecisionTrees18510LinearDiscrimination20911MultilayerPerceptrons23312LocalModels27913KernelMachines30914BayesianEstimation34115Hid

6、denMarkovModels36316GraphicalModels38717CombiningMultipleLearners41918ReinforcementLearning44719DesignandAnalysisofMachineLearningExperiments475AProbability517ContentsSeriesForewordxviiFiguresxixTablesxxixPrefacexxxiAcknowledgmentsxxxiiiNotesfortheSecondEditionxxxvNotationsxxxix1

7、Introduction11.1WhatIsMachineLearning?11.2ExamplesofMachineLearningApplications41.2.1LearningAssociations41.2.2Classification51.2.3Regression91.2.4UnsupervisedLearning111.2.5ReinforcementLearning131.3Notes141.4RelevantResources161.5Exercises181.6References192SupervisedLearning212.

8、1LearningaClassfromExamples21viiiContent

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