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Volumn , Issue , 2008, Pages 681-688

Pareto analysis for the selection of classifier ensembles

Author keywords

Classifier ensembles; Diversity measures; Ensemble selection; Pareto analysis

Indexed keywords

ERRORS; MULTIOBJECTIVE OPTIMIZATION;

EID: 57349172056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389229     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 1
    • 32044473249 scopus 로고    scopus 로고
    • Using diversity of errors for selecting members of a committee classifier
    • M. Aksela and J. Laaksonen. Using diversity of errors for selecting members of a committee classifier. Pattern Recognition, 39(4):608-623, 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.4 , pp. 608-623
    • Aksela, M.1    Laaksonen, J.2
  • 2
    • 34547278592 scopus 로고    scopus 로고
    • Distributed multi-objective ga for generating comprehensive pareto front in deceptive optimization problems
    • S. Ando and E. Suzuki. Distributed multi-objective ga for generating comprehensive pareto front in deceptive optimization problems. In Proceedings of the IEEE CEC, pages 1569-1576, 2006.
    • (2006) Proceedings of the IEEE CEC , pp. 1569-1576
    • Ando, S.1    Suzuki, E.2
  • 3
    • 10444221886 scopus 로고    scopus 로고
    • Diversity creation methods: A survey and categorisation
    • G. Brown, J. Wyatt, R. Harris, and X. Yao. Diversity creation methods: a survey and categorisation. Information Fusion, 6(1):5-20, 2005.
    • (2005) Information Fusion , vol.6 , Issue.1 , pp. 5-20
    • Brown, G.1    Wyatt, J.2    Harris, R.3    Yao, X.4
  • 5
    • 0344464824 scopus 로고    scopus 로고
    • Unveiling innovative design principles by means of multiple conflicting objectives
    • K. Deb. Unveiling innovative design principles by means of multiple conflicting objectives. Engineering Optimization, 35(5):445-470, 2003.
    • (2003) Engineering Optimization , vol.35 , Issue.5 , pp. 445-470
    • Deb, K.1
  • 6
    • 33746672590 scopus 로고    scopus 로고
    • Genetic algorithms in classifier fusion
    • B. Gabrys and D. Ruta. Genetic algorithms in classifier fusion. Applied Soft Computing, 6(4):337-347, 2006.
    • (2006) Applied Soft Computing , vol.6 , Issue.4 , pp. 337-347
    • Gabrys, B.1    Ruta, D.2
  • 7
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles an their relationship with the ensemble accuracy
    • L. Kuncheva and C. Whitaker. Measures of diversity in classifier ensembles an their relationship with the ensemble accuracy. Machine Learning, 51(2): 181-207, 2003.
    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.1    Whitaker, C.2
  • 8
    • 0036860749 scopus 로고    scopus 로고
    • Automatic recognition of handwritten numerical strings: A recognition and verification strategy
    • L. Oliveira, R. Sabourin, F. Bortolozzi, and C. Suen. Automatic recognition of handwritten numerical strings: A recognition and verification strategy. IEEE TPAMI, 24(11):1438-1454, 2002.
    • (2002) IEEE TPAMI , vol.24 , Issue.11 , pp. 1438-1454
    • Oliveira, L.1    Sabourin, R.2    Bortolozzi, F.3    Suen, C.4
  • 9
    • 84956994921 scopus 로고    scopus 로고
    • Methods for designing multiple classifier systems
    • F. Roli, G. Giacinto, and G. Vernazza. Methods for designing multiple classifier systems. In Proceedings of MCS, pages 78-87, 2001.
    • (2001) Proceedings of MCS , pp. 78-87
    • Roli, F.1    Giacinto, G.2    Vernazza, G.3
  • 10
    • 10444224737 scopus 로고    scopus 로고
    • Classifier selection for majority voting
    • D. Ruta and B. Gabrys. Classifier selection for majority voting. Information Fusion, 6(1):163-168, 2005.
    • (2005) Information Fusion , vol.6 , Issue.1 , pp. 163-168
    • Ruta, D.1    Gabrys, B.2
  • 11
    • 10044289194 scopus 로고    scopus 로고
    • Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm
    • Cambridge, UK
    • G. Tremblay, R. Sabourin, and P. Maupin. Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm. In Proceedings of ICPR, pages 208-211, Cambridge, UK, 2004.
    • (2004) Proceedings of ICPR , pp. 208-211
    • Tremblay, G.1    Sabourin, R.2    Maupin, P.3
  • 12
    • 10444235601 scopus 로고    scopus 로고
    • Examining the relationship between majority vote accuracy and diversity in bagging and boosting
    • Technical report, School of Informatics, Unversity of Wales
    • C. Whitaker and L. Kuncheva. Examining the relationship between majority vote accuracy and diversity in bagging and boosting. Technical report, School of Informatics, Unversity of Wales, 2003.
    • (2003)
    • Whitaker, C.1    Kuncheva, L.2
  • 13
    • 0001823017 scopus 로고    scopus 로고
    • Metrics for quality assessment of a multiobjective design optimization solution set
    • J. Wu and S. Azarm. Metrics for quality assessment of a multiobjective design optimization solution set. Transactions ASME, Journal of Mechanical Design, 123:18-25, 2001.
    • (2001) Transactions ASME, Journal of Mechanical Design , vol.123 , pp. 18-25
    • Wu, J.1    Azarm, S.2
  • 14
    • 84948152666 scopus 로고    scopus 로고
    • Using diversity in preparing ensembles of classifiers based on differente feature subsets to minimize generalization error
    • Freiburg, Germany
    • G. Zenobi and P. Cunningham. Using diversity in preparing ensembles of classifiers based on differente feature subsets to minimize generalization error. In Proceedings of XII European Conference on Machine Learning, pages 576-587, Freiburg, Germany, 2001.
    • (2001) Proceedings of XII European Conference on Machine Learning , pp. 576-587
    • Zenobi, G.1    Cunningham, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.