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Volumn 2096, Issue , 2001, Pages 32-42

Tuning cost-sensitive boosting and its application to melanoma diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED DIAGNOSIS; ONCOLOGY;

EID: 84957030794     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48219-9_4     Document Type: Conference Paper
Times cited : (10)

References (14)
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    • N. Adams and D. Hand, “Classifier performance assessment,” Neural Computation, vol. 12, no. 2, pp. 305-311, 2000.
    • (2000) Neural Computation , vol.12 , Issue.2 , pp. 305-311
    • Adams, N.1    Hand, D.2
  • 3
    • 84974681748 scopus 로고    scopus 로고
    • Exploiting classifier combination for early melanoma diagnosis support
    • (R. de Man- taras and E. Plaza, eds.), (Berlin), Springer-Verlag
    • E. Blanzieri, C. Eccher, S. Forti, and A. Sboner, “Exploiting classifier combination for early melanoma diagnosis support,” in Proceedings of ECML-2000 (R. de Man- taras and E. Plaza, eds.), (Berlin), pp. 55-62, Springer-Verlag, 2000.
    • (2000) Proceedings of ECML-2000 , pp. 55-62
    • Blanzieri, E.1    Eccher, C.2    Forti, S.3    Sboner, A.4
  • 6
    • 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, vol. 40, no. 2, pp. 139-158, 2000.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 139-158
    • Dietterich, T.1
  • 8
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of online learning and an application to boosting
    • Y. Freund and R. Schapire, “A decision-theoretic generalization of online learning and an application to boosting,” Journal of Computer and System Sciences, vol. 55, no. 1, pp. 119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 10
    • 84867079959 scopus 로고    scopus 로고
    • Boosting of tree-based classifiers for predictive risk modeling in gis
    • (J. Kittler and F. Roli, eds.), Amsterdam), Springer
    • C. Furlanello and S. Merler, “Boosting of tree-based classifiers for predictive risk modeling in gis,” in Multiple Classifier Systems (J. Kittler and F. Roli, eds.), vol. 1857, (Amsterdam), Springer, 2000. pages 220-229.
    • (2000) Multiple Classifier Systems , vol.1857 , pp. 220-229
    • Furlanello, C.1    Merler, S.2
  • 11
    • 84899002132 scopus 로고    scopus 로고
    • Optimizing classifiers for imbalanced training sets
    • M. Kearns, S. Solla, and D. Cohn, eds.), MIT Press
    • G. Karakoulas and J. Shawe-Taylor, “Optimizing classifiers for imbalanced training sets,” in Advances in Neural Information Processing Systems 11 (M. Kearns, S. Solla, and D. Cohn, eds.), MIT Press, 1999.
    • (1999) Advances in Neural Information Processing Systems , vol.11
    • Karakoulas, G.1    Shawe-Taylor, J.2
  • 12
    • 0001845032 scopus 로고    scopus 로고
    • Bootstrap methods for the cost-sensitive evaluation of classifiers
    • Morgan Kaufmann
    • D. Margineantu and T. Dietterich, “Bootstrap methods for the cost-sensitive evaluation of classifiers,” in Proceedings of ICML-2000, pp. 583-590, Morgan Kaufmann, 2000.
    • (2000) Proceedings of ICML-2000 , pp. 583-590
    • Margineantu, D.1    Dietterich, T.2
  • 13
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • R. Schapire, Y. Freund, P. Bartlett, and W. Lee, “Boosting the margin: a new explanation for the effectiveness of voting methods,” The Annals of Statistics, vol. 26, no. 5, pp. 1651-1686, 1998.
    • (1998) The Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.1    Freund, Y.2    Bartlett, P.3    Lee, W.4
  • 14
    • 0002804620 scopus 로고    scopus 로고
    • A comparative study study of cost-sensitive boosting algorithms
    • (M. Kaufmann, ed.)
    • K. Ting, “A comparative study study of cost-sensitive boosting algorithms,” in Proceedings of ICML-2000 (M. Kaufmann, ed.), pp. 983-990, 2000.
    • (2000) Proceedings of ICML-2000 , pp. 983-990
    • Ting, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.