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Volumn , Issue , 2004, Pages

Large margin classifiers: Convex loss, low noise, and convergence rates

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ALGORITHM; CONVERGENCE RATES; FUNCTION CLASS; LARGE MARGIN CLASSIFIERS; LOGISTIC REGRESSIONS; LOSS FUNCTIONS; NON NEGATIVES; STATISTICAL CONSEQUENCES;

EID: 9444269962     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (11)
  • 3
    • 3142657752 scopus 로고    scopus 로고
    • Process consistency for Adaboost
    • in press
    • Jiang, W. (2003). Process consistency for Adaboost. Annals of Statistics, in press.
    • (2003) Annals of Statistics
    • Jiang, W.1
  • 5
    • 1542277529 scopus 로고    scopus 로고
    • A note on margin-based loss functions in classification
    • University of Wisconsin
    • Lin, Y. (2001). A note on margin-based loss functions in classification. Technical Report 1044r, Department of Statistics, University of Wisconsin.
    • (2001) Technical Report 1044r, Department of Statistics
    • Lin, Y.1
  • 6
    • 9444269961 scopus 로고    scopus 로고
    • On the Bayes risk consistency of regularized boosting methods
    • in press
    • Lugosi, G. and Vayatis, N. (2003). On the Bayes risk consistency of regularized boosting methods. Annals of Statistics, in press.
    • (2003) Annals of Statistics
    • Lugosi, G.1    Vayatis, N.2
  • 8
    • 0036648803 scopus 로고    scopus 로고
    • Improving the sample complexity using global data
    • Mendelson, S. (2002). Improving the sample complexity using global data. IEEE Transactions on Information Theory, 48(7):1977-1991.
    • (2002) IEEE Transactions on Information Theory , vol.48 , Issue.7 , pp. 1977-1991
    • Mendelson, S.1
  • 9
    • 84898974114 scopus 로고    scopus 로고
    • Consistency of support vector machines and other regularized classifiers
    • Department of Mathematics and Computer Science
    • Steinwart, I. (2002). Consistency of support vector machines and other regularized classifiers. Technical Report 02-03, University of Jena, Department of Mathematics and Computer Science.
    • (2002) Technical Report 02-03, University of Jena
    • Steinwart, I.1
  • 10
    • 4944236764 scopus 로고    scopus 로고
    • Optimal aggregation of classifiers in statistical learning
    • Université Paris VI
    • Tsybakov, A. (2001). Optimal aggregation of classifiers in statistical learning. Technical Report PMA-682, Université Paris VI.
    • (2001) Technical Report PMA-682
    • Tsybakov, A.1
  • 11
    • 0347344561 scopus 로고    scopus 로고
    • Statistical behavior and consistency of classification methods based on convex risk minimization
    • in press
    • Zhang, T. (2003). Statistical behavior and consistency of classification methods based on convex risk minimization. Annals of Statistics, in press.
    • (2003) Annals of Statistics
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.