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Volumn 2, Issue , 1997, Pages 860-865

Ensembles as a sequence of classifiers

Author keywords

[No Author keywords available]

Indexed keywords

COMBINING CLASSIFIERS; COMPONENT CLASSIFIERS; CONFIDENCE THRESHOLD; INDIVIDUAL CLASSIFIERS; MULTIPLE COMPONENTS; SAR IMAGES; SIMPLE APPROACH;

EID: 84880681658     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (24)
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  • 4
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    • Combining forecasts: A review and annotated bibliography
    • R. Clemen. Combining forecasts: A review and annotated bibliography. International Journal of Forecasting, 5:559-583, 1989.
    • (1989) International Journal of Forecasting , vol.5 , pp. 559-583
    • Clemen, R.1
  • 12
    • 0029251952 scopus 로고
    • Learning from a population of hypotheses
    • M. Kearns and H. Seung. Learning from a population of hypotheses. Machine Learning, 18:255-276, 1995.
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    • Kearns, M.1    Seung, H.2
  • 13
    • 0000749354 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • G. Tesauro, D. Touretzky, and T. Leen, editors, Cambridge, MA, MIT Press
    • A. Krogh and J. Vedelsby. Neural network ensembles, cross validation, and active learning. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems, volume 7, Cambridge, MA, 1995. MIT Press.
    • (1995) Advances in Neural Information Processing Systems , vol.7
    • Krogh, A.1    Vedelsby, J.2
  • 14
    • 0000494468 scopus 로고
    • Synergy of clustering multiple back propagation networks
    • D. Touretzky, editor, San Mateo, CA, Morgan Kaufmann
    • W. Lincoln and J. Skrzypek. Synergy of clustering multiple back propagation networks. In D. Touretzky, editor, Advances in Neural Information Processing Systems, volume 2, pages 650-659, San Mateo, CA, 1989. Morgan Kaufmann.
    • (1989) Advances in Neural Information Processing Systems , vol.2 , pp. 650-659
    • Lincoln, W.1    Skrzypek, J.2
  • 16
    • 0010069683 scopus 로고
    • Evaluation of adaptive mixtures of competing experts
    • R. Lippmann, J. Moody, and D. Touretzky, editors, San Mateo, CA, Morgan Kaufmann
    • S. Nowlan and G. Hinton. Evaluation of adaptive mixtures of competing experts. In R. Lippmann, J. Moody, and D. Touretzky, editors, Advances in Neural Information Processing Systems, volume 3, San Mateo, CA, 1990. Morgan Kaufmann.
    • (1990) Advances in Neural Information Processing Systems , vol.3
    • Nowlan, S.1    Hinton, G.2
  • 17
    • 0000926506 scopus 로고
    • When networks disagree: Ensemble method for neural networks
    • R. J. Mammone, editor, Chapman and Hall, London
    • M. Perrone and L. Cooper. When networks disagree: Ensemble method for neural networks. In R. J. Mammone, editor, Artificial Neural Networks for Speech and Vision. Chapman and Hall, London, 1994.
    • (1994) Artificial Neural Networks for Speech and Vision
    • Perrone, M.1    Cooper, L.2
  • 19
    • 0027961797 scopus 로고
    • Combining the results of several neural-network classifiers
    • G. Rogova. Combining the results of several neural-network classifiers. Neural Networks, 7:777-781, 1994.
    • (1994) Neural Networks , vol.7 , pp. 777-781
    • Rogova, G.1
  • 20
    • 0027291015 scopus 로고
    • Prediction of protein secondary structure at better than 70% accuracy
    • DOI 10.1006/jmbi.1993.1413
    • B. Rost and C. Sander. Prediction of protein secondary structure at better than 70% accuracy. Journal of Molecular Biology, 232:584-599, 1993. (Pubitemid 23251181)
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    • Rost, B.1    Sander, C.2
  • 23
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    • Stacked generalization
    • D. Wolpert. Stacked generalization. Neural Networks, 5:241-259, 1992.
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  • 24
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    • Hybrid system for protein secondary structure prediction
    • X. Zhang, J. Mesirov, and D. Waltz. Hybrid system for protein secondary structure prediction. Journal of Molecular Biology, 225:1049-1063, 1992. for Engineering Education
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    • Zhang, X.1    Mesirov, J.2    Waltz, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.