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Volumn , Issue , 2007, Pages 217-222

Evolving ensemble of classifiers in low-dimensional spaces using multi-objective evolutionary approach

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMMUNICATION; CYBERNETICS; FEATURE EXTRACTION; GENETIC ALGORITHMS; INFORMATION MANAGEMENT; INFORMATION SCIENCE; KNOWLEDGE MANAGEMENT; LEAD; LEARNING SYSTEMS; MULTIOBJECTIVE OPTIMIZATION;

EID: 46749139864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIS.2007.98     Document Type: Conference Paper
Times cited : (11)

References (11)
  • 1
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • L. Breiman, "Stacked regressions," Machine Learning, 1996, 24(1):49-64.
    • (1996) Machine Learning , vol.24 , Issue.1 , pp. 49-64
    • Breiman, L.1
  • 4
    • 0032139235 scopus 로고    scopus 로고
    • The random subspace method for constructing decision forests
    • T. K. Ho, "The random subspace method for constructing decision forests," IEEE Trans. on Pattern Analysis and Machine Intelligence, 1998, 20(8):832-844.
    • (1998) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.20 , Issue.8 , pp. 832-844
    • Ho, T.K.1
  • 5
    • 78149347898 scopus 로고    scopus 로고
    • Feature selection for ensembles: A hierarchical multi objective genetic algorithm approach
    • L. S. Oliveira, R. Sabourin, F. Bortolozzi, and C. Y. Suen, "Feature selection for ensembles: A hierarchical multi objective genetic algorithm approach," In Proceedings of the 7th ICDAR, 2003, pp 676-680.
    • (2003) Proceedings of the 7th ICDAR , pp. 676-680
    • Oliveira, L.S.1    Sabourin, R.2    Bortolozzi, F.3    Suen, C.Y.4
  • 6
    • 84948152666 scopus 로고    scopus 로고
    • Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error
    • G. Zenobi, and P. Cunningham, "Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error," Proc. European Conference on Machine Learning, 2001, pp. 576-587.
    • (2001) Proc. European Conference on Machine Learning , pp. 576-587
    • Zenobi, G.1    Cunningham, P.2
  • 7
    • 0033873684 scopus 로고    scopus 로고
    • Multi objective optimization of trusses using genetic algorithms
    • C. A. Coello, and A. D. Christiansen, "Multi objective optimization of trusses using genetic algorithms," Comput. and Struct., 2000, vol. 75, no. 6, pp. 647-660.
    • (2000) Comput. and Struct , vol.75 , Issue.6 , pp. 647-660
    • Coello, C.A.1    Christiansen, A.D.2
  • 9
    • 0004140075 scopus 로고    scopus 로고
    • SPEA2: Improving the Strength Pareto Evolutionary Algorithm,
    • Technical Report 103, Gloriastrasse 35, CH-8092 Zurich, Switzerland
    • E. Zitzler, M. Laumanns, and L. Thiele, "SPEA2: Improving the Strength Pareto Evolutionary Algorithm," Technical Report 103, Gloriastrasse 35, CH-8092 Zurich, Switzerland, 2001.
    • (2001)
    • Zitzler, E.1    Laumanns, M.2    Thiele, L.3
  • 10
    • 46749115898 scopus 로고    scopus 로고
    • Multi-objective Techniques in Genetic Programming for Evolving Classifier Systems
    • IEEE Service Center, Piscataway, NJ 08855-1331
    • D. Parrott, X. Li and V. Ciesielski, "Multi-objective Techniques in Genetic Programming for Evolving Classifier Systems," in Proceeding of the 2005 Congress on Evolutionarv Computation, IEEE Service Center, Piscataway, NJ 08855-1331. 2005, p.183-190.
    • (2005) Proceeding of the 2005 Congress on Evolutionarv Computation , pp. 183-190
    • Parrott, D.1    Li, X.2    Ciesielski, V.3
  • 11
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles an their relationship with the ensemble accuracy
    • L.I. Kuncheva, and C.J. Whitaker, "Measures of diversity in classifier ensembles an their relationship with the ensemble accuracy," Machine Learning, 2002, vol. 51, pp. 181-207.
    • (2002) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.