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Volumn 2167, Issue , 2001, Pages 109-120

Analysis of the performance of AdaBoost.M2 for the simulated digit-recognition-example

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE;

EID: 84948155600     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (10)
  • 1
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting and variants
    • E. Bauer, R. Kohavi, 1999. An empirical comparison of voting classification algorithms: bagging, boosting and variants. Machine Learning 36, 105-139.
    • (1999) Machine Learning , vol.36 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 4
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization
    • T. G. Dietterrich, 2000. An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting and randomization. Machine Learning 40, 139-157.
    • (2000) Machine Learning , vol.40 , pp. 139-157
    • Dietterrich, T.G.1
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of onlinelearning and an application to boosting
    • Y. Freund, R. E. Schapire, 1997. A decision-theoretic generalization of onlinelearning and an application to boosting. Journal of Computer and System Sciences 55 (1), 119-139.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 9
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • R. E. Schapire, Y. Freund, P. Bartlett, S. L. Wee, 1998. Boosting the margin: a new explanation for the effectiveness of voting methods. Annals of Statistics 26 (5), 1651-1686.
    • (1998) Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.3    Wee, S.L.4
  • 10
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidencerated predictions
    • R. E. Schapire, Y. Singer, 1999. Improved boosting algorithms using confidencerated predictions. Machine Learning 37, 297-336.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.