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Volumn 41, Issue 1, 2004, Pages 95-109

Improvement of boosting algorithm by modifying the weighting rule

Author keywords

AdaBoost; Errorbound; Hard example; NadaBoost; Weighting rule

Indexed keywords


EID: 3943060856     PISSN: 10122443     EISSN: None     Source Type: Journal    
DOI: 10.1023/B:AMAI.0000018577.32783.d2     Document Type: Article
Times cited : (23)

References (9)
  • 1
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • T.G. Dietterich, Approximate statistical tests for comparing supervised classification learning algorithms, Neural Computation 10(7) (1998) 1895-1923.
    • (1998) Neural Computation , vol.10 , Issue.7 , pp. 1895-1923
    • Dietterich, T.G.1
  • 2
    • 0001823341 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • T.G. Dietterich, An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization, Machine Learning 32(1) (1999) 1-22.
    • (1999) Machine Learning , vol.32 , Issue.1 , pp. 1-22
    • Dietterich, T.G.1
  • 3
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R.E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, Journal of Computer and System Sciences 55(1) (1997) 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 5
    • 0030370417 scopus 로고    scopus 로고
    • Bagging, boosting and C4.5
    • J.R. Quinlan, Bagging, boosting and C4.5, in: Proc. of 13th AAAI (1996) pp. 725-730.
    • (1996) Proc. of 13th AAAI , pp. 725-730
    • Quinlan, J.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.