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Volumn , Issue , 2004, Pages

An infinity-sample theory for multi-category large margin classification

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL PROBABILITIES; LARGE MARGINS; MULTI-CATEGORY CLASSIFICATION; NATURAL EXTENSION; RISK MINIMIZATION;

EID: 26944459104     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (11)
  • 2
    • 84898949656 scopus 로고    scopus 로고
    • Data-dependent bounds for multi-category classification based on convex losses
    • Ilya Desyatnikov and Ron Meir. Data-dependent bounds for multi-category classification based on convex losses. In COLT, 2003.
    • (2003) COLT
    • Desyatnikov, I.1    Meir, R.2
  • 3
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • With discussion
    • J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: A statistical view of boosting. The Annals of Statistics, 28(2):337-407, 2000. With discussion.
    • (2000) The Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 4
    • 26444545593 scopus 로고    scopus 로고
    • Process consistency for adaboost
    • with discussion
    • W. Jiang. Process consistency for adaboost. The Annals of Statistics, 32, 2004. with discussion.
    • (2004) The Annals of Statistics , vol.32
    • Jiang, W.1
  • 5
    • 34547178971 scopus 로고    scopus 로고
    • Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data
    • accepted
    • Y. Lee, Y. Lin, and G. Wahba. Multicategory support vector machines, theory, and application to the classification of microarray data and satellite radiance data. Journal of American Statistical Association, 2002. accepted.
    • (2002) Journal of American Statistical Association
    • Lee, Y.1    Lin, Y.2    Wahba, G.3
  • 6
    • 0036258405 scopus 로고    scopus 로고
    • Support vector machines and the bayes rule in classification
    • Yi Lin. Support vector machines and the bayes rule in classification. Data Mining and Knowledge Discovery, pages 259-275, 2002.
    • (2002) Data Mining and Knowledge Discovery , pp. 259-275
    • Lin, Y.1
  • 7
    • 9444269961 scopus 로고    scopus 로고
    • On the bayes-risk consistency of regularized boosting methods
    • with discussion
    • G. Lugosi and N. Vayatis. On the Bayes-risk consistency of regularized boosting methods. The Annals of Statistics, 32, 2004. with discussion.
    • (2004) The Annals of Statistics , vol.32
    • Lugosi, G.1    Vayatis, N.2
  • 8
    • 2542488393 scopus 로고    scopus 로고
    • Greedy algorithms for classification - consistency, convergence rates, and adaptivity
    • Shie Mannor, Ron Meir, and Tong Zhang. Greedy algorithms for classification - consistency, convergence rates, and adaptivity. Journal of Machine Learning Research, 4:713-741, 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 713-741
    • Mannor, S.1    Meir, R.2    Zhang, T.3
  • 9
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Robert E. Schapire and Yoram Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37:297-336, 1999.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 10
    • 0036749277 scopus 로고    scopus 로고
    • Support vector machines are universally consistent
    • Ingo Steinwart. Support vector machines are universally consistent. J. Complexity, 18:768-791, 2002.
    • (2002) J. Complexity , vol.18 , pp. 768-791
    • Steinwart, I.1
  • 11
    • 4644257995 scopus 로고    scopus 로고
    • Statistical behavior and consistency of classification methods based on convex risk minimization
    • with discussion
    • Tong Zhang. Statistical behavior and consistency of classification methods based on convex risk minimization. The Annals of Statitics, 32, 2004. with discussion.
    • (2004) The Annals of Statitics , vol.32
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.