引文
1边肇祺,张学工等编著.模式识别(第二版).北京:清华大学出版社,2000.
2王碧泉,陈祖荫.模式识别理论、方法和应用.北京:地震出版社,1989.
3赵陵滋,甘云祥.统计模式识别算法的MATLAB语言实现.应用科技,2002;29(6):12~13.
4罗公亮.从神经网络到支撑矢量机(上).冶金自动化,2001;0(5):1~5.
5罗公亮.从神经网络到支撑矢量机(中).冶金自动化,2001;25(6):1~4.
6罗公亮.从神经网络到支撑矢量机(下).冶金自动化,2002;26(1):1~5.
7JainAK,DuinRPW,JianchangMao.Statisticalpatternrecogni-tion:areview.PatternAnalysisandMachineIntelligence,IEEETransactionson,2000;22(1):4~37.
8UjiieH,OmachiS,AsoH.Adiscriminantfunctionconsideringnor-malityimprovementofthedistribution.PatternRecognition,2002.Proceedings.16thInternationalConferenceon,2002;Vol.2:224~227.
9IwamuraM,OmachiS,AsoH.Amodificationofeigenvaluestocompensateestimationerrorsofeigenvectors.PatternRecognition,2000.Proceedings.15thInternationalConferenceon,2000;Vol.2:378~381.
10张学工.关于统计学习理论与支持向量机.自动化学报,2000;26(1):32~44.
11罗公亮.核函数(上).冶金自动化,2002;26(3):1~4.
12GuttmanO,MeirR.NonlinearFisherdiscriminantusingkernels.ElectricalandElectronicEngineersinIsrael,2000.The21stIEEEConventionofthe,2000;vol.1:257~260.
13罗公亮.核函数(下).冶金自动化,2002;26(4):1~4.
14CookeT.TwovariationsonFisher'slineardiscriminantforpatternrecognition.PatternAnalysisandMachineIntelligence,IEEETrans-actionson,2002;24(2):268~273.
15RuedaLG,OommenBJ.Onoptimalpairwiselinearclassifiersfornormaldistributions:thetwo-dimensionalcase.PatternAnalysisandMachineIntelligence,IEEETransactionson,2002;24(2):274~280.
16LiuJNK,LiBNL,DillonTS.AnimprovednaiveBayesianclas-sifiertechniquecoupledwithanovelinputsolutionmethod[infallprediction].Systems,ManandCybernetics,PartC,IEEETransac-tionson,2001;31(2):249~256.
17MenhajMB,DelgoshaF.Asoftprobabilisticneuralnetworkforim-plementationofBayesianclassifiers.NeuralNetworks,2001.Pro-ceedings.IJCNN'01.InternationalJointConferenceon,2001;vol.1:454~458.
18FerlandG,YeapT.AchievingoptimalBayesianclassificationperfor-manceusinganovelapproach:the‘racetotheattractor’neuralnetworkmodel.VirtualandIntelligentMeasurementSystems,2001.IEEEInternationalWorkshopon.VIMS2001;Vol.1:115~120.
19YingZhu,SchwartzS.Discriminantanalysisandadaptivewaveletfeatureselectionforstatisticalobjectdetection.PatternRecognition,2002.Proceedings.16thInternationalConferenceon,2002;Vol.4:86~89.
20SchulterR,NeyH.Model-basedMCEboundtothetrueBayes'error.IEEESignalProcessingLetters,2001;8(5):131~133.
21HerbrichR,GraepelT.APAC-Bayesianmarginboundforlinearclassifiers.InformationTheory,IEEETransactionson,2002;48(12):3140~3150.
22MuruaA.Upperboundsforerrorratesoflinearcombinationsofclas-sifiers.PatternAnalysisandMachineIntelligence,IEEETransac-tionson,2002;24(5):591~602.
23TitsiasMK,LikasAC.Sharedkernelmodelsforclassconditionaldensityestimation.NeuralNetworks,IEEETransactionson,2001;12(5):987~997.
24韩祯祥,张琦,文福拴.粗糙集理论及其应用综述.控制理论与应用,1999;16(2):153~157.
25胡可云,陆玉昌,石纯一.粗糙集理论及其应用进展.清华大学学报(自然科学版),2001;41(1):64~68.
26BorkowskiM,PetersJF.Approximatingsensorsignals:aroughsetapproach.ElectricalandComputerEngineering,2002.IEEECCECE2002.CanadianConferenceon,2002;Vol.2:980~985.
27WangJunsheng,LiMinqiang.Amulti-factorialdecision-makingmodelfordeductionofrulesinroughsets.IntelligentControlandAutomation,2000.Proceedingsofthe3rdWorldCongresson,2000;Vol.1:383~386.
28GuXP,TsoSK,ZhangQ.Combinationofroughsettheoryandartificialneuralnetworksfortransientstabilityassessment.PowerSystemTechnology,2000.Proceedings.PowerCon2000.Interna-tionalConferenceon,2000;Vol.1:19~24.
29王守觉.仿生模式识别(拓扑模式识别)——一种模式识别新模型的理论与应用.电子学报,2002;30(10):1417~1420.
30PardoM,SberveglieriG.Learningfromdata:atutorialwithempha-sisonmodernpatternrecognitionmethods.SensorsJournal,IEEE,2002;2(3):203~217.