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Volumn 4, Issue , 2006, Pages 185-188

A new objective function for ensemble selection in random subspaces

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; FUNCTION EVALUATION;

EID: 34147172745     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.124     Document Type: Conference Paper
Times cited : (2)

References (18)
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    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 181-207
    • Kuncheva, L.I.1    Whitaker, C.J.2
  • 4
    • 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 and Vision Computing, vol. 19, no. 9-10, pp. 699-707, 2001
    • (2001) Image and Vision Computing , vol.19 , Issue.9-10 , pp. 699-707
    • Giacinto, G.1    Roli, F.2
  • 6
    • 34147188425 scopus 로고    scopus 로고
    • R.P.W. Duin, Pattern Recognition Toolbox for Matlab 5.0+, available free at: ftp://ftp.ph.tn.tudelft.nl/pub/bob/prtools
    • R.P.W. Duin, "Pattern Recognition Toolbox for Matlab 5.0+," available free at: ftp://ftp.ph.tn.tudelft.nl/pub/bob/prtools
  • 8
    • 0031244715 scopus 로고    scopus 로고
    • Software diversity: Practical statistics for its measurement and exploitation
    • D. Partridge and W. Krzanowski, "Software diversity: practical statistics for its measurement and exploitation," Information and Software Technology, vol. 39, pp. 707-717, 1997
    • (1997) Information and Software Technology , vol.39 , pp. 707-717
    • Partridge, D.1    Krzanowski, W.2
  • 11
    • 34147092495 scopus 로고    scopus 로고
    • B. E. Geman, S. and R. Dorsat, Neural Networks and the Bias/Variance Dilemma, Neural Computation, no. 4, pp. 1-58, 1992
    • B. E. Geman, S. and R. Dorsat, "Neural Networks and the Bias/Variance Dilemma," Neural Computation, no. 4, pp. 1-58, 1992
  • 13
    • 0036896235 scopus 로고    scopus 로고
    • An Experimental Study on Diversity for Bagging and Boosting with Linear Classifiers
    • L. I. Kuncheva, M. Skurichina, and R. P. W. Duin, "An Experimental Study on Diversity for Bagging and Boosting with Linear Classifiers," International Journal of Information Fusion, vol. 3, no. 2, pp. 245-258, 2002
    • (2002) International Journal of Information Fusion , vol.3 , Issue.2 , pp. 245-258
    • Kuncheva, L.I.1    Skurichina, M.2    Duin, R.P.W.3
  • 15
    • 0030365938 scopus 로고    scopus 로고
    • Error Correlation and Error Reduction in Ensemble Classifiers
    • K. Tumer and J. Ghosh, "Error Correlation and Error Reduction in Ensemble Classifiers", Connection Science, vol. 8, no. 3-4, pp. 385-403, 1996
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 385-403
    • Tumer, K.1    Ghosh, J.2
  • 16
    • 0037403462 scopus 로고    scopus 로고
    • Variance and Bias for General Loss Functions
    • G. James, "Variance and Bias for General Loss Functions," Machine Learning, vol. 51, no. 2, pp. 115-135, 2003.
    • (2003) Machine Learning , vol.51 , Issue.2 , pp. 115-135
    • James, G.1
  • 18
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    • Ensemble Learning using Decorrelated Neural Networks
    • B. E. Rosen, "Ensemble Learning using Decorrelated Neural Networks", Connection Science, vol. 8, no. 3-4, pp. 373-384, 1996
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 373-384
    • Rosen, B.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.