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Volumn 48, Issue 5, 2015, Pages 1925-1935

META-DES: A dynamic ensemble selection framework using meta-learning

Author keywords

Classifier competence; Dynamic ensemble selection; Ensemble of classifiers; Meta learning

Indexed keywords

PATTERN RECOGNITION; SOFTWARE ENGINEERING;

EID: 84921697002     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.12.003     Document Type: Article
Times cited : (232)

References (42)
  • 3
    • 84904400137 scopus 로고    scopus 로고
    • Dynamic selection of classifiers - A comprehensive review
    • A.S. Britto, Jr., R. Sabourin, L.E.S. de Oliveira, Dynamic selection of classifiers - a comprehensive review, Pattern Recognit. 47 (11) (2014) 3665-3680.
    • (2014) Pattern Recognit. , vol.47 , Issue.11 , pp. 3665-3680
    • Britto, A.S.1    Sabourin, R.2    De Oliveira, L.E.S.3
  • 4
    • 38349135448 scopus 로고    scopus 로고
    • From dynamic classifier selection to dynamic ensemble selection
    • A.H.R. Ko, R. Sabourin, and A.S. Britto Jr. From dynamic classifier selection to dynamic ensemble selection Pattern Recognit. 41 2008 1735 1748
    • (2008) Pattern Recognit. , vol.41 , pp. 1735-1748
    • Ko, A.H.R.1    Sabourin, R.2    Britto, Jr.A.S.3
  • 5
    • 45549107002 scopus 로고    scopus 로고
    • A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
    • E.M. Dos Santos, R. Sabourin, and P. Maupin A dynamic overproduce-and-choose strategy for the selection of classifier ensembles Pattern Recognit. 41 2008 2993 3009
    • (2008) Pattern Recognit. , vol.41 , pp. 2993-3009
    • Dos Santos, E.M.1    Sabourin, R.2    Maupin, P.3
  • 6
    • 84874022028 scopus 로고    scopus 로고
    • Dynamic selection approaches for multiple classifier systems
    • P.R. Cavalin, R. Sabourin, and C.Y. Suen Dynamic selection approaches for multiple classifier systems Neural Comput. Appl. 22 3-4 2013 673 688
    • (2013) Neural Comput. Appl. , vol.22 , Issue.34 , pp. 673-688
    • Cavalin, P.R.1    Sabourin, R.2    Suen, C.Y.3
  • 7
    • 84861630536 scopus 로고    scopus 로고
    • Logid an adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs
    • P.R. Cavalin, R. Sabourin, and C.Y. Suen Logid an adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs Pattern Recognit. 45 9 2012 3544 3556
    • (2012) Pattern Recognit. , vol.45 , Issue.9 , pp. 3544-3556
    • Cavalin, P.R.1    Sabourin, R.2    Suen, C.Y.3
  • 8
    • 79958833224 scopus 로고    scopus 로고
    • A probabilistic model of classifier competence for dynamic ensemble selection
    • T. Woloszynski, and M. Kurzynski A probabilistic model of classifier competence for dynamic ensemble selection Pattern Recognit. 44 2011 2656 2668
    • (2011) Pattern Recognit. , vol.44 , pp. 2656-2668
    • Woloszynski, T.1    Kurzynski, M.2
  • 9
    • 80255137251 scopus 로고    scopus 로고
    • Dynamic classifier ensemble model for customer classification with imbalanced class distribution
    • J. Xiao, L. Xie, C. He, and X. Jiang Dynamic classifier ensemble model for customer classification with imbalanced class distribution Expert Syst. Appl. 39 2012 3668 3675
    • (2012) Expert Syst. Appl. , vol.39 , pp. 3668-3675
    • Xiao, J.1    Xie, L.2    He, C.3    Jiang, X.4
  • 10
    • 80054716523 scopus 로고    scopus 로고
    • A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence
    • R.M.O. Cruz, G.D.C. Cavalcanti, T.I. Ren, A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence, in: Proceedings of the International Joint Conference on Neural Networks, 2011, pp. 1126-1133.
    • (2011) Proceedings of the International Joint Conference on Neural Networks , pp. 1126-1133
    • Cruz, R.M.O.1    Cavalcanti, G.D.C.2    Ren, T.I.3
  • 11
    • 84994037050 scopus 로고    scopus 로고
    • Dynamic classifier selection based on multiple classifier behaviour
    • G. Giacinto, and F. Roli Dynamic classifier selection based on multiple classifier behaviour Pattern Recognit. 34 2001 1879 1881
    • (2001) Pattern Recognit. , vol.34 , pp. 1879-1881
    • Giacinto, G.1    Roli, F.2
  • 13
    • 0036532571 scopus 로고    scopus 로고
    • Switching between selection and fusion in combining classifiers an experiment
    • L. Kuncheva Switching between selection and fusion in combining classifiers an experiment IEEE Trans. Syst. Man Cybern. 32 2 2002 146 156
    • (2002) IEEE Trans. Syst. Man Cybern. , vol.32 , Issue.2 , pp. 146-156
    • Kuncheva, L.1
  • 15
    • 13544267516 scopus 로고    scopus 로고
    • A dynamic classifier selection and combination approach to image region labelling
    • S. Singh, and M. Singh A dynamic classifier selection and combination approach to image region labelling Signal Process. Image Commun. 20 3 2005 219 231
    • (2005) Signal Process. Image Commun. , vol.20 , Issue.3 , pp. 219-231
    • Singh, S.1    Singh, M.2
  • 16
    • 0036543957 scopus 로고    scopus 로고
    • Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection
    • P.C. Smits Multiple classifier systems for supervised remote sensing image classification based on dynamic classifier selection IEEE Trans. Geosci. Remote Sens. 40 4 2002 801 813
    • (2002) IEEE Trans. Geosci. Remote Sens. , vol.40 , Issue.4 , pp. 801-813
    • Smits, P.C.1
  • 19
    • 0036472946 scopus 로고    scopus 로고
    • A theoretical study on six classifier fusion strategies
    • L.I. Kuncheva A theoretical study on six classifier fusion strategies IEEE Trans. Pattern Anal. Mach. Intell. 24 2 2002 281 286
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell. , vol.24 , Issue.2 , pp. 281-286
    • Kuncheva, L.I.1
  • 21
    • 45549107002 scopus 로고    scopus 로고
    • A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
    • E.M. dos Santos, R. Sabourin, and P. Maupin A dynamic overproduce-and-choose strategy for the selection of classifier ensembles Pattern Recognit. 41 10 2008 2993 3009
    • (2008) Pattern Recognit. , vol.41 , Issue.10 , pp. 2993-3009
    • Dos Santos, E.M.1    Sabourin, R.2    Maupin, P.3
  • 24
    • 0035420134 scopus 로고    scopus 로고
    • Design of effective neural network ensembles for image classification purposes
    • G. Giacinto, and F. Roli Design of effective neural network ensembles for image classification purposes Image Vis. Comput. 19 9-10 2001 699 707
    • (2001) Image Vis. Comput. , vol.19 , Issue.910 , pp. 699-707
    • Giacinto, G.1    Roli, F.2
  • 25
    • 84874654480 scopus 로고    scopus 로고
    • Feature representation selection based on classifier projection space and oracle analysis
    • R.M.O. Cruz, G.D. Cavalcanti, I.R. Tsang, and R. Sabourin Feature representation selection based on classifier projection space and oracle analysis Exp. Syst. Appl. 40 9 2013 3813 3827
    • (2013) Exp. Syst. Appl. , vol.40 , Issue.9 , pp. 3813-3827
    • Cruz, R.M.O.1    Cavalcanti, G.D.2    Tsang, I.R.3    Sabourin, R.4
  • 28
    • 0034830461 scopus 로고    scopus 로고
    • Decision templates for multiple classifier fusion an experimental comparison
    • L.I. Kuncheva, J.C. Bezdek, and R.P.W. Duin Decision templates for multiple classifier fusion an experimental comparison Pattern Recognit. 34 2001 299 314
    • (2001) Pattern Recognit. , vol.34 , pp. 299-314
    • Kuncheva, L.I.1    Bezdek, J.C.2    Duin, R.P.W.3
  • 30
    • 24044449939 scopus 로고    scopus 로고
    • A study on the performances of dynamic classifier selection based on local accuracy estimation
    • L. Didaci, G. Giacinto, F. Roli, and G.L. Marcialis A study on the performances of dynamic classifier selection based on local accuracy estimation Pattern Recognit. 38 11 2005 2188 2191
    • (2005) Pattern Recognit. , vol.38 , Issue.11 , pp. 2188-2191
    • Didaci, L.1    Giacinto, G.2    Roli, F.3    Marcialis, G.L.4
  • 32
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Mach. Learn. 24 1996 123 140
    • (1996) Mach. Learn. , vol.24 , pp. 123-140
    • Breiman, L.1
  • 36
    • 79951829331 scopus 로고    scopus 로고
    • KEEL data-mining software tool data set repository, integration of algorithms and experimental analysis framework
    • J. Alcalá-Fdez, A. Fernández, J. Luengo, J. Derrac, and S. García KEEL data-mining software tool data set repository, integration of algorithms and experimental analysis framework Multiple-Valued Logic Soft Comput. 17 2-3 2011 255 287
    • (2011) Multiple-Valued Logic Soft Comput. , vol.17 , Issue.23 , pp. 255-287
    • Alcalá-Fdez, J.1    Fernández, A.2    Luengo, J.3    Derrac, J.4    García, S.5
  • 39
    • 77952024193 scopus 로고    scopus 로고
    • Dynamic selection of ensembles of classifiers using contextual information
    • P.R. Cavalin, R. Sabourin, and C.Y. Suen Dynamic selection of ensembles of classifiers using contextual information Multiple Classif. Syst. (2010 145 154
    • (2010) Multiple Classif. Syst. , pp. 145-154
    • Cavalin, P.R.1    Sabourin, R.2    Suen, C.Y.3
  • 41
    • 10444224737 scopus 로고    scopus 로고
    • Classifier selection for majority voting
    • D. Ruta, and B. Gabrys Classifier selection for majority voting Inf. Fusion 6 1 2005 63 81
    • (2005) Inf. Fusion , vol.6 , Issue.1 , pp. 63-81
    • Ruta, D.1    Gabrys, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.