Foundations of Machine Learning英文文献资料

Foundations of Machine Learning英文文献资料

ID:39412841

大小:3.39 MB

页数:427页

时间:2019-07-02

Foundations of Machine Learning英文文献资料_第1页
Foundations of Machine Learning英文文献资料_第2页
Foundations of Machine Learning英文文献资料_第3页
Foundations of Machine Learning英文文献资料_第4页
Foundations of Machine Learning英文文献资料_第5页
资源描述:

《Foundations of Machine Learning英文文献资料》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库

1、FoundationsofMachineLearningAdaptiveComputationandMachineLearningThomasDietterich,EditorChristopherBishop,DavidHeckerman,MichaelJordan,andMichaelKearns,AssociateEditorsAcompletelistofbookspublishedinTheAdaptiveComputationsandMachineLearningseriesappearsatthebackofth

2、isbook.FoundationsofMachineLearningMehryarMohri,AfshinRostamizadeh,andAmeetTalwalkarTheMITPressCambridge,MassachusettsLondon,Englandc2012MassachusettsInstituteofTechnologyAllrightsreserved.Nopartofthisbookmaybereproducedinanyformbyanyelectronicormechanicalmeans(inc

3、ludingphotocopying,recording,orinformationstorageandretrieval)withoutpermissioninwritingfromthepublisher.MITPressbooksmaybepurchasedatspecialquantitydiscountsforbusinessorsalespromotionaluse.Forinformation,pleaseemailspecialsales@mitpress.mit.eduorwritetoSpecialSale

4、sDepartment,TheMITPress,55HaywardStreet,Cam-bridge,MA02142.ThisbookwassetinLATEXbytheauthors.PrintedandboundintheUnitedStatesofAmerica.LibraryofCongressCataloging-in-PublicationDataMohri,Mehryar.Foundationsofmachinelearning/MehryarMohri,AfshinRostamizadeh,andAmeetTa

5、lwalkar.p.cm.-(Adaptivecomputationandmachinelearningseries)Includesbibliographicalreferencesandindex.ISBN978-0-262-01825-8(hardcover:alk.paper)1.Machinelearning.2.Computeralgorithms.I.Rostamizadeh,Afshin.II.Talwalkar,Ameet.III.Title.Q325.5.M642012006.3’1-dc232012007

6、24910987654321ContentsPrefacexi1Introduction11.1Applicationsandproblems........................11.2Definitionsandterminology.......................31.3Cross-validation..............................51.4Learningscenarios............................71.5Outline..........

7、........................82ThePACLearningFramework112.1ThePAClearningmodel.........................112.2Guaranteesforfinitehypothesissets—consistentcase........172.3Guaranteesforfinitehypothesissets—inconsistentcase.......212.4Generalities..............................

8、..242.4.1Deterministicversusstochasticscenarios............242.4.2Bayeserrorandnoise......................252.4.3Estimationandapproximatio

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。