Boosting Foundations and Algorithms

Boosting Foundations and Algorithms

ID:39910366

大小:2.45 MB

页数:529页

时间:2019-07-14

Boosting Foundations and Algorithms_第页
预览图正在加载中,预计需要20秒,请耐心等待
资源描述:

《Boosting Foundations and Algorithms》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、BoostingFoundationsandAlgorithmsAdaptiveComputationandMachineLearningThomasDietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsAcompletelistofthebookspublishedinthisseriesmaybefoundatthebackofthebook.BoostingFoun

2、dationsandAlgorithmsRobertE.SchapireYoavFreundTheMITPressCambridge,MassachusettsLondon,England©2012MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(includingphotocopying,recording,o

3、rinformationstorageandretrieval)withoutpermissioninwritingfromthepublisher.Forinformationaboutspecialqualitydiscounts,pleaseemailspecial_sales@mitpress.mit.eduThisbookwassetinTimesRomanbyWestchesterBookComposition.PrintedandboundintheUnitedStatesofAmerica.L

4、ibraryofCongressCataloging-in-PublicationDataSchapire,RobertE.Boosting:foundationsandalgorithms/RobertE.SchapireandYoavFreund.p.cm.—(Adaptivecomputationandmachinelearningseries)Includesbibliographicalreferencesandindex.ISBN978-0-262-01718-3(hardcover:alk.pa

5、per)1.Boosting(Algorithms)2.Supervisedlearning(Machinelearning)I.Freund,Yoav.II.Title.Q325.75.S332012006.3'1—dc2320110389721098765432ToourfamiliesOnthecover:Arandomizeddepictionofthepotentialfunctiont(s)usedintheboost-by-majorityalgorithm,asgiveninequation

6、(13.30).Eachpixel,identifiedwithanintegerpair(t,s),wasrandomlycoloredbluewithprobabilityt(s),andwasotherwisecoloredyellow(withcolorsinvertedwhereletteringappears).TheroundtrunshorizontallyfromT=1225atthefarleftdownto0atthefarright,andpositionsrunsvertically

7、from−225atthetopto35atthebottom.Anedgeofγ=0.06wasused.[CoverdesignbyMollySeamansandtheauthors.]ContentsSeriesForewordxiPrefacexiii1IntroductionandOverview11.1ClassificationProblemsandMachineLearning21.2Boosting41.3ResistancetoOverfittingandtheMarginsTheory141

8、.4FoundationsandAlgorithms17Summary19BibliographicNotes19Exercises20ICOREANALYSIS212FoundationsofMachineLearning232.1ADirectApproachtoMachineLearning242.2GeneralMethodsofAnalysis302.3AFoundationfortheS

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。