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Volumn 1, Issue , 2003, Pages 456-463

Linear Programming Boosting for Uneven Datasets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; OPTIMIZATION; PROBLEM SOLVING; SET THEORY;

EID: 1942484882     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (12)
  • 1
    • 0038453192 scopus 로고    scopus 로고
    • Bartlett and Shahar Mendelson. Rademacher and gaussian complexities: Risk bounds and structural results
    • Peter L. Bartlett and Shahar Mendelson. Rademacher and gaussian complexities: Risk bounds and structural results. Journal of Machine Learning Research, 3:463-482, 2002.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 463-482
    • Peter, L.1
  • 3
    • 0002429764 scopus 로고    scopus 로고
    • A column generation algorithm for boosting
    • Kristin P. Bennett, Ayhan Demiriz, and John Shawe-Taylor. A column generation algorithm for boosting. Machine Learning, 46(1):225-254, 2001.
    • (2001) Machine Learning , vol.46 , Issue.1 , pp. 225-254
    • Bennett, K.P.1    Demiriz, A.2    Shawe-Taylor, J.3
  • 5
    • 0036161257 scopus 로고    scopus 로고
    • Linear programming boosting via column generation
    • Ayhan Demiriz, Kristin P. Bennett, and John Shawe-Taylor. Linear programming boosting via column generation. Machine Learning, 46(1-3):225-254, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 225-254
    • Demiriz, A.1    Bennett, K.P.2    Shawe-Taylor, J.3
  • 6
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Springer Verlag
    • Thorsten Joachims. Text categorization with support vector machines: learning with many relevant features. In Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pages 137-142. Springer Verlag, 1998.
    • (1998) Proceedings of ECML-98, 10th European Conference on Machine Learning , vol.1398 , pp. 137-142
    • Joachims, T.1
  • 10
    • 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. Sun Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. Annals of Statistics, 26(5):1651-1686, 1998.
    • (1998) Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.1    Freund, Y.2    Bartlett, P.3    Sun Lee, W.4
  • 11
    • 0031633979 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Robert E. Schapire and Yoram Singer. Improved boosting algorithms using confidence-rated predictions. In Computational Learing Theory, pages 80-91, 1998.
    • (1998) Computational Learing Theory , pp. 80-91
    • Schapire R.E.Singer, Y.1
  • 12
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • Robert E. Schapire and Yoram Singer. Boostexter: A boosting-based system for text categorization. Machine Learning, 39(2/3):135-168, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.