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Volumn , Issue , 2009, Pages 245-251

Ensemble member selection using multi-objective optimization

Author keywords

[No Author keywords available]

Indexed keywords

BASE CLASSIFIERS; CLASSIFICATION ,; DATA SETS; EMPIRICAL STUDIES; ENSEMBLE MEMBERS; HIGHLY-CORRELATED; KEY PROBLEMS; LEARNING TASKS; NOVEL TECHNIQUES; OPTIMIZATION CRITERIA; PREDICTIVE MODELS; RANDOM FORESTS; TEST ACCURACY; TEST SETS;

EID: 67650434708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2009.4938656     Document Type: Conference Paper
Times cited : (11)

References (22)
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    • Krogh, A.1    Vedelsby, J.2
  • 3
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    • Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
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    • (2003) Machine Learning , Issue.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 4
    • 44649141743 scopus 로고    scopus 로고
    • The importance of diversity in neural network ensembles-an empirical investigation
    • IEEE Press, Orlando, FL
    • U. Johansson, T. Löfström and L. Niklasson, The Importance of Diversity in Neural Network Ensembles-An Empirical Investigation, The International Joint Conference on Neural Networks, IEEE Press, Orlando, FL, pp. 661-666, 2007.
    • (2007) The International Joint Conference on Neural Networks , pp. 661-666
    • Johansson, U.1    Lofstrom, T.2    Niklasson, L.3
  • 5
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    • The problem with ranking ensembles based on training or validation performance
    • IEEE Press, Hong Kong, China
    • U. Johansson, T. Löfström and H. Boström, The Problem with Ranking Ensembles Based on Training or Validation Performance, The International Joint Conference on Neural Networks, IEEE Press, Hong Kong, China, pp. 3221-3227, 2008.
    • (2008) The International Joint Conference on Neural Networks , pp. 3221-3227
    • Johansson, U.1    Lofstrom, T.2    Boström, H.3
  • 6
    • 0002629429 scopus 로고
    • An overview of evolutionary algorithms in multiobjective optimization
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    • Fonseca, C.M.1    Fleming, P.J.2
  • 8
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    • Design of effective neural network ensembles for image classification purposes
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  • 10
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.