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Volumn 6, Issue 1, 2005, Pages 49-62

Ensemble diversity measures and their application to thinning

Author keywords

Decision trees; Diversity; Ensembles; Multiple classifier systems; Thinning

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; LEARNING SYSTEMS; METRIC SYSTEM; NEURAL NETWORKS; PROBABILITY;

EID: 10444241978     PISSN: 15662535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.inffus.2004.04.005     Document Type: Article
Times cited : (218)

References (23)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, Bagging predictors, Machine Learning 24 (1996) 123-140.
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0032634129 scopus 로고    scopus 로고
    • Pasting small votes for classification in large databases and on-line
    • L. Breiman, Pasting small votes for classification in large databases and on-line, Machine Learning 36 (1999) 85-103.
    • (1999) Machine Learning , vol.36 , pp. 85-103
    • Breiman, L.1
  • 4
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T. Dietterich, An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization, Machine Learning 40 (2000) 139-158.
    • (2000) Machine Learning , vol.40 , pp. 139-158
    • Dietterich, T.1
  • 5
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman, Random forests, Machine Learning 45 (2001) 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 7
    • 0037403516 scopus 로고    scopus 로고
    • Measures of diversity in classifier ensembles
    • L.I. Kuncheva, C.J. Whitaker, Measures of diversity in classifier ensembles, Machine Learning 51 (2003) 181-207.
    • (2003) Machine Learning , vol.51 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 9
  • 12
    • 0036896235 scopus 로고    scopus 로고
    • An experimental study on diversity for bagging and boosting with linear classifiers
    • L.I. Kuncheva, M. Skurichina, W.I. Duin, An experimental study on diversity for bagging and boosting with linear classifiers, Information Fusion 3 (2002) 245-258.
    • (2002) Information Fusion , vol.3 , pp. 245-258
    • Kuncheva, L.I.1    Skurichina, M.2    Duin, W.I.3
  • 16
    • 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 Transactions on PAMI 20 (1998) 832-844.
    • (1998) IEEE Transactions on PAMI , vol.20 , pp. 832-844
    • Ho, T.K.1
  • 18
    • 10444280755 scopus 로고    scopus 로고
    • ELENA Project, http://www.dice.ucl.ac.be/neural-nets/Research/Projects/ELENA/elena.htm, 2003.
    • (2003)
  • 19
    • 10444265074 scopus 로고    scopus 로고
    • NIAAD, http://www.liacc.up.pt/ML, 2003.
    • (2003)
  • 21
    • 0035202645 scopus 로고    scopus 로고
    • An approach to automatic design of multiple classifier systems
    • G. Giacinto, F. Roli, An approach to automatic design of multiple classifier systems, Pattern Recognition Letters 22 (2001) 25-33.
    • (2001) Pattern Recognition Letters , vol.22 , pp. 25-33
    • Giacinto, G.1    Roli, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.