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catalog abstract "Morethanadecadeago,combiningmultipleclassi?erswasproposedasap- siblesolutiontotheproblemsposedbythetraditionalpatternclassi?cation approachwhichinvolvedselectingthebestclassi?erfromasetofcandidates basedontheirexperimentalevaluation. Asnoclassi?erisknowntobethebest forallcasesandtheselectionofthebestclassi?erforagivenpracticaltaskis verydi?cult,diverseresearchcommunities,includingMachineLearning,N- ralNetworks,PatternRecognition,andStatistics,addressedtheengineering problemofhowtoexploitthestrengthswhileavoidingtheweaknessesofd- ferentdesigns. Thisambitiousresearchtrendwasalsomotivatedbyempirical observationsaboutthecomplementarityofdi?erentclassi?erdesigns,natural requirementsofinformationfusionapplications,andintrinsicdi?cultiesasso- atedwiththeoptimalchoiceofsomeclassi?erdesignparameters,suchasthe architectureandtheinitialweightsforaneuralnetwork. Afteryearsofresearch, thecombinationofmultipleclassi?ershasbecomeawellestablishedandexciting researcharea,whichprovidese?ectivesolutionstodi?cultpatternrecognition problems. Aconsiderablebodyofempiricalevidencesupportsthemeritof- signingcombinedsystemswhoseaccuracyishigherthanthatofeachindividual classi?er,andvariousmethodsforthegenerationandthecombinationofm- tipleclassi?ershavebecomeavailable. However,despitetheprovedutilityof multipleclassi?ersystems,nogeneralanswertotheoriginalquestionaboutthe possibilityofexploitingthestrengthswhileavoidingtheweaknessesofdi?erent classi?erdesignshasyetemerged. Otherfundamentalissuesarealsoamatterof on-goingresearchindi?erentresearchcommunities. Theresultsachievedd- ingthepastyearsarealsospreadoverdi?erentresearchcommunities,andthis makesitdi?culttoexchangesuchresultsandpromotetheircross-fertilization. Theacknowledgmentofthefundamentalrolethatthecreationofacommon internationalforumforresearchersofthediversecommunitiescouldplayfor theadvancementofthisresearch?eldmotivatedthepresentseriesofwo- shopsonmultipleclassi?ersystems. Followingitspredecessors,MultipleCl- si?erSystems2000(SpringerISBN3-540-67704-6)and2001(SpringerISBN 3-540-42284-6),thisvolumecontainstheproceedingsoftheThirdInternational WorkshoponMultipleClassi?erSystems(MCS2002),heldattheGrandHotel ChiaLaguna,Cagliari,Italy,onJune24-26,2002. The29papersselectedby thescienti?ccommitteehavebeenorganizedinsessionsdealingwithbagging andboosting,ensemblelearningandneuralnetworks,combinationstrategies, designmethodologies,analysisandperformanceevaluation,andapplications. Theworkshopprogramandthisvolumeareenrichedwiththreeinvitedtalks givenbyJoydeepGhosh(UniversityofTexas,USA),TrevorHastie(Stanford University,USA),andSarunasRaudys(VilniusGediminasTechnicalUniversity, Lithuania). Papersweresubmittedfromresearchersofthefourdiversecom- nities,socon?rmingthatthisseriesofworkshopscanbecomeacommonforum VI Foreword forexchangingviewsandreportinglatestresearchresults. Asfortheprevious editions,thesigni?cantnumberofpapersdealingwithrealpatternrecognition applicationsareproofofthepracticalutilityofmultipleclassi?ersystems. This workshopwassupportedbytheUniversityofCagliari,Italy,theUniversityof Surrey,Guildford,UnitedKingdom,andtheDepartmentofElectricalandEl- tronicEngineeringoftheUniversityofCagliari. Allthesesupportsaregratefully acknowledged. WealsothanktheInternationalAssociationforPatternRecog- tionanditsTechnicalCommitteeTC1onStatisticalPatternRecognitionTe- niquesforsponsoringMCS2002. Wewishtoexpressourappreciationtoallthose whohelpedtoorganizeMCS2002. Firstofall,wewouldliketothankallthe membersoftheScienti?cCommitteewhoseprofessionalismwasinstrumental increatingaveryinterestingtechnicalprogram. Specialthanksareduetothe membersoftheOrganizingCommittee,GiorgioFumera,GiorgioGiacinto,and GianLucaMarcialisfortheirindispensablecontributionstotheMCS2002web sitemanagement,localorganization,andproceedingspreparation. April2002 FabioRoliandJosefKittler WorkshopChairs F. Roli(Univ. ofCagliari,Italy) J. Kittler(Univ. ofSurrey,UnitedKingdom) Scienti?cCommittee J. A. Benediktsson(Iceland) M. Kamel(Canada) H. Bunke(Switzerland) L. I. Kuncheva(UK) L. P. Cordella(Italy) L. Lam(HongKong) B. V. Dasarathy(USA) D. Landgrebe(USA) R. P. W. Duin(TheNetherlands) Dar-ShyangLee(USA) C. Furlanello(Italy) D. Partridge(UK) J. Ghosh(USA) A. J. C. Sharkey(UK) T. K. Ho(USA) K. Tumer(USA) S. Impedovo(Italy) G. Vernazza(Italy) N. Intrator(Israel) T. Windeatt(UK) A. K. Jain(USA) LocalCommittee G. Fumera(Univ. ofCagliari,Italy) G. Giacinto(Univ. ofCagliari,Italy) G. L. Marcialis(Univ. ofCagliari,Italy) Organizedby Dept. ofElectricalandElectronicEngineeringoftheUniversityofCagliari UniversityofSurrey Sponsoredby UniversityofCagliari UniversityofSurrey Dept. ofElectricalandElectronicEngineeringoftheUniversityofCagliari TheInternationalAssociationforPatternRecognition Supportedby UniversityofCagliari Dept. ofElectricalandElectronicEngineeringoftheUniversityofCagliari UniversityofSurrey TableofContents InvitedPapers Multiclassi?erSystems:BacktotheFuture. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 J. Ghosh SupportVectorMachines,KernelLogisticRegressionandBoosting. . . . . . . 16 J. Zhu,T. Hastie MultipleClassi?cationSystemsintheContextofFeatureExtractionand Selection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 ? S. Raudys BaggingandBoosting BoostedTreeEnsemblesforSolvingMulticlassProblems. . . . . . . . . . . . . . . . 42 T. Windeatt,G. Ardeshir DistributedPastingofSmallVotes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52 N. V. Chawla,L. O. Hall,K. W. Bowyer,T. E. Moore,Jr. , W. P. Kegelmeyer BaggingandBoostingfortheNearestMeanClassi?er:E?ectsofSample SizeonDiversityandAccuracy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 M. Skurichina,L. I. Kuncheva,R. P. W. Duin HighlightingHardPatternsviaAdaboostWeightsEvolution . . . . . . . . . . . . 72 B. Caprile,C. Furlanello,S. Merler UsingDiversitywithThreeVariantsofBoosting:Aggressive,Conservative, andInverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 L. I. Kuncheva,C. J. Whitaker EnsembleLearningandNeuralNetworks MultistageNeuralNetworkEnsembles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 S. Yang,A. Browne,P. D. Picton ForwardandBackwardSelectioninRegressionHybridNetwork. . . . . . . . . . 98 S. Cohen,N. Intrator TypesofMultinetSystem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 A. J. C.".
catalog contributor b12619626.
catalog contributor b12619627.
catalog contributor b12619628.
catalog created "2002.".
catalog date "2002".
catalog date "2002.".
catalog dateCopyrighted "2002.".
catalog description ". . . . . . . . . . . . 52 N. V. Chawla,L. O. Hall,K. W. Bowyer,T. E. Moore,Jr. , W. P. Kegelmeyer BaggingandBoostingfortheNearestMeanClassi?er:E?ectsofSample SizeonDiversityandAccuracy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 M. Skurichina,L. I. Kuncheva,R. P. W. Duin HighlightingHardPatternsviaAdaboostWeightsEvolution . . . . . . . . . . . . 72 B. Caprile,C. Furlanello,S. Merler UsingDiversitywithThreeVariantsofBoosting:Aggressive,Conservative, andInverse . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 L. I. Kuncheva,C. J. Whitaker EnsembleLearningandNeuralNetworks MultistageNeuralNetworkEnsembles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 S. Yang,A. Browne,P. D. Picton ForwardandBackwardSelectioninRegressionHybridNetwork. . . . . . . . . . 98 S. Cohen,N. Intrator TypesofMultinetSystem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ".
catalog description ". . . . . 108 A. J. C.".
catalog description "Afteryearsofresearch, thecombinationofmultipleclassi?ershasbecomeawellestablishedandexciting researcharea,whichprovidese?ectivesolutionstodi?cultpatternrecognition problems. Aconsiderablebodyofempiricalevidencesupportsthemeritof- signingcombinedsystemswhoseaccuracyishigherthanthatofeachindividual classi?er,andvariousmethodsforthegenerationandthecombinationofm- tipleclassi?ershavebecomeavailable. However,despitetheprovedutilityof multipleclassi?ersystems,nogeneralanswertotheoriginalquestionaboutthe possibilityofexploitingthestrengthswhileavoidingtheweaknessesofdi?erent classi?erdesignshasyetemerged. Otherfundamentalissuesarealsoamatterof on-goingresearchindi?erentresearchcommunities. Theresultsachievedd- ingthepastyearsarealsospreadoverdi?erentresearchcommunities,andthis makesitdi?culttoexchangesuchresultsandpromotetheircross-fertilization. ".
catalog description "Includes bibliographical references and index.".
catalog description "Morethanadecadeago,combiningmultipleclassi?erswasproposedasap- siblesolutiontotheproblemsposedbythetraditionalpatternclassi?cation approachwhichinvolvedselectingthebestclassi?erfromasetofcandidates basedontheirexperimentalevaluation. Asnoclassi?erisknowntobethebest forallcasesandtheselectionofthebestclassi?erforagivenpracticaltaskis verydi?cult,diverseresearchcommunities,includingMachineLearning,N- ralNetworks,PatternRecognition,andStatistics,addressedtheengineering problemofhowtoexploitthestrengthswhileavoidingtheweaknessesofd- ferentdesigns. Thisambitiousresearchtrendwasalsomotivatedbyempirical observationsaboutthecomplementarityofdi?erentclassi?erdesigns,natural requirementsofinformationfusionapplications,andintrinsicdi?cultiesasso- atedwiththeoptimalchoiceofsomeclassi?erdesignparameters,suchasthe architectureandtheinitialweightsforaneuralnetwork. ".
catalog description "Multiclassifier Systems: Back to the Future / J. Ghosh -- Support Vector Machines, Kernal Logistic Regression and Boosting / J. Zhu and T. Hastie -- Multiple Classification Systems in the Context of Feature Extraction and Selection / S. Raudys -- Boosted Tree Ensembles for Solving Multiclass Problems / T. Windeatt and G. Ardeshir -- Distributed Pasting of Small Votes / N.V. Chawla, L.O. Hall, K.W. Bowyer, T.E. Moore, Jr. and W.P. Kegelmeyer -- Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy / M. Skurichina, L.I. Kuncheva and R.P.W. Duin -- Highlighting Hard Patterns via Adaboost Weights Evolution / B. Caprile, C. Furlanello and S. Merler.".
catalog description "Papersweresubmittedfromresearchersofthefourdiversecom- nities,socon?rmingthatthisseriesofworkshopscanbecomeacommonforum VI Foreword forexchangingviewsandreportinglatestresearchresults. Asfortheprevious editions,thesigni?cantnumberofpapersdealingwithrealpatternrecognition applicationsareproofofthepracticalutilityofmultipleclassi?ersystems. This workshopwassupportedbytheUniversityofCagliari,Italy,theUniversityof Surrey,Guildford,UnitedKingdom,andtheDepartmentofElectricalandEl- tronicEngineeringoftheUniversityofCagliari. Allthesesupportsaregratefully acknowledged. WealsothanktheInternationalAssociationforPatternRecog- tionanditsTechnicalCommitteeTC1onStatisticalPatternRecognitionTe- niquesforsponsoringMCS2002. Wewishtoexpressourappreciationtoallthose whohelpedtoorganizeMCS2002. Firstofall,wewouldliketothankallthe membersoftheScienti?cCommitteewhoseprofessionalismwasinstrumental increatingaveryinterestingtechnicalprogram. ".
catalog description "Specialthanksareduetothe membersoftheOrganizingCommittee,GiorgioFumera,GiorgioGiacinto,and GianLucaMarcialisfortheirindispensablecontributionstotheMCS2002web sitemanagement,localorganization,andproceedingspreparation. April2002 FabioRoliandJosefKittler WorkshopChairs F. Roli(Univ. ofCagliari,Italy) J. Kittler(Univ. ofSurrey,UnitedKingdom) Scienti?cCommittee J. A. Benediktsson(Iceland) M. Kamel(Canada) H. Bunke(Switzerland) L. I. Kuncheva(UK) L. P. Cordella(Italy) L. Lam(HongKong) B. V. Dasarathy(USA) D. Landgrebe(USA) R. P. W. Duin(TheNetherlands) Dar-ShyangLee(USA) C. Furlanello(Italy) D. Partridge(UK) J. Ghosh(USA) A. J. C. Sharkey(UK) T. K. Ho(USA) K. Tumer(USA) S. Impedovo(Italy) G. Vernazza(Italy) N. Intrator(Israel) T. Windeatt(UK) A. K. Jain(USA) LocalCommittee G. Fumera(Univ. ofCagliari,Italy) G. Giacinto(Univ. ofCagliari,Italy) G. L. Marcialis(Univ. ofCagliari,Italy) Organizedby Dept. ".
catalog description "Theacknowledgmentofthefundamentalrolethatthecreationofacommon internationalforumforresearchersofthediversecommunitiescouldplayfor theadvancementofthisresearch?eldmotivatedthepresentseriesofwo- shopsonmultipleclassi?ersystems. Followingitspredecessors,MultipleCl- si?erSystems2000(SpringerISBN3-540-67704-6)and2001(SpringerISBN 3-540-42284-6),thisvolumecontainstheproceedingsoftheThirdInternational WorkshoponMultipleClassi?erSystems(MCS2002),heldattheGrandHotel ChiaLaguna,Cagliari,Italy,onJune24-26,2002. The29papersselectedby thescienti?ccommitteehavebeenorganizedinsessionsdealingwithbagging andboosting,ensemblelearningandneuralnetworks,combinationstrategies, designmethodologies,analysisandperformanceevaluation,andapplications. Theworkshopprogramandthisvolumeareenrichedwiththreeinvitedtalks givenbyJoydeepGhosh(UniversityofTexas,USA),TrevorHastie(Stanford University,USA),andSarunasRaudys(VilniusGediminasTechnicalUniversity, Lithuania). ".
catalog description "ofElectricalandElectronicEngineeringoftheUniversityofCagliari UniversityofSurrey Sponsoredby UniversityofCagliari UniversityofSurrey Dept. ofElectricalandElectronicEngineeringoftheUniversityofCagliari TheInternationalAssociationforPatternRecognition Supportedby UniversityofCagliari Dept. ofElectricalandElectronicEngineeringoftheUniversityofCagliari UniversityofSurrey TableofContents InvitedPapers Multiclassi?erSystems:BacktotheFuture. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 J. Ghosh SupportVectorMachines,KernelLogisticRegressionandBoosting. . . . . . . 16 J. Zhu,T. Hastie MultipleClassi?cationSystemsintheContextofFeatureExtractionand Selection. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 ? S. Raudys BaggingandBoosting BoostedTreeEnsemblesforSolvingMulticlassProblems. . . . . . . . . . . . . . . . 42 T. Windeatt,G. Ardeshir DistributedPastingofSmallVotes. . . . . . . . . . . . . . . . . . . . . . . ".
catalog extent "xi, 335 p. :".
catalog identifier "3540438181 (sc : alk. paper)".
catalog isPartOf "Lecture notes in computer science, 0302-9743 ; 2364".
catalog issued "2002".
catalog issued "2002.".
catalog language "eng".
catalog publisher "Berlin ; New York : Springer,".
catalog subject "006.3/1 21".
catalog subject "Artificial intelligence.".
catalog subject "Computer science.".
catalog subject "Computer software.".
catalog subject "Computer vision.".
catalog subject "Machine learning Congresses.".
catalog subject "Neural networks (Computer science) Congresses.".
catalog subject "Optical pattern recognition.".
catalog subject "Pattern perception Congresses.".
catalog subject "Q325.5 .I574 2002".
catalog tableOfContents "Multiclassifier Systems: Back to the Future / J. Ghosh -- Support Vector Machines, Kernal Logistic Regression and Boosting / J. Zhu and T. Hastie -- Multiple Classification Systems in the Context of Feature Extraction and Selection / S. Raudys -- Boosted Tree Ensembles for Solving Multiclass Problems / T. Windeatt and G. Ardeshir -- Distributed Pasting of Small Votes / N.V. Chawla, L.O. Hall, K.W. Bowyer, T.E. Moore, Jr. and W.P. Kegelmeyer -- Bagging and Boosting for the Nearest Mean Classifier: Effects of Sample Size on Diversity and Accuracy / M. Skurichina, L.I. Kuncheva and R.P.W. Duin -- Highlighting Hard Patterns via Adaboost Weights Evolution / B. Caprile, C. Furlanello and S. Merler.".
catalog title "Multiple classifier systems : third international workshop, MCS 2002, Cagliari, Italy, June 24-26, 2002 proceedings / Fabio Roli, Josef Kittler (eds.).".
catalog type "Cagliari (2002) swd".
catalog type "Conference proceedings. fast".
catalog type "text".