pattern recognition and machine learning

pattern recognition and machine learning

ID:14944461

大小:8.60 MB

页数:749页

时间:2018-07-31

pattern recognition and machine learning_第1页
pattern recognition and machine learning_第2页
pattern recognition and machine learning_第3页
pattern recognition and machine learning_第4页
pattern recognition and machine learning_第5页
资源描述:

《pattern recognition and machine learning》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、InformationScienceandStatisticsSeriesEditors:M.JordanJ.KleinbergB.Scho¨lkopfInformationScienceandStatisticsAkaikeandKitagawa:ThePracticeofTimeSeriesAnalysis.Bishop:PatternRecognitionandMachineLearning.Cowell,Dawid,Lauritzen,andSpiegelhalter:ProbabilisticNetworksandExpertSys

2、tems.Doucet,deFreitas,andGordon:SequentialMonteCarloMethodsinPractice.Fine:FeedforwardNeuralNetworkMethodology.HawkinsandOlwell:CumulativeSumChartsandChartingforQualityImprovement.Jensen:BayesianNetworksandDecisionGraphs.Marchette:ComputerIntrusionDetectionandNetworkMonitor

3、ing:AStatisticalViewpoint.RubinsteinandKroese:TheCross-EntropyMethod:AUnifiedApproachtoCombinatorialOptimization,MonteCarloSimulation,andMachineLearning.Studený:ProbabilisticConditionalIndependenceStructures.Vapnik:TheNatureofStatisticalLearningTheory,SecondEdition.Wallace:

4、StatisticalandInductiveInferencebyMinimumMassageLength.ChristopherM.BishopPatternRecognitionandMachineLearningChristopherM.BishopF.R.Eng.AssistantDirectorMicrosoftResearchLtdCambridgeCB30FB,U.K.cmbishop@microsoft.comhttp://research.microsoft.com/cmbishopSeriesEditorsMichae

5、lJordanProfessorJonKleinbergBernhardScho¨lkopfDepartmentofComputerDepartmentofComputerMaxPlanckInstituteforScienceandDepartmentScienceBiologicalCyberneticsofStatisticsCornellUniversitySpemannstrasse38UniversityofCalifornia,Ithaca,NY1485372076Tu¨bingenBerkeleyUSAGermanyBerke

6、ley,CA94720USALibraryofCongressControlNumber:2006922522ISBN-10:0-387-31073-8ISBN-13:978-0387-31073-2Printedonacid-freepaper.©2006SpringerScience+BusinessMedia,LLCAllrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewrittenpermissionofthepublisher(Spr

7、ingerScience+BusinessMedia,LLC,233SpringStreet,NewYork,NY10013,USA),exceptforbriefexcerptsinconnectionwithreviewsorscholarlyanalysis.Useinconnectionwithanyformofinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynowknownor

8、hereafterdevelopedisforbidden.Theuseinthispublicationoftradenames,trademarks,servi

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。