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Volumn 12, Issue , 2011, Pages 2905-2929

On equivalence relationships between classification and ranking algorithms

Author keywords

Area under the curve; Bipartite ranking; Boosting; Logistic regression; Rank statistics; Supervised classification

Indexed keywords

AREA UNDER THE CURVES; BIPARTITE RANKING; BOOSTING; LOGISTIC REGRESSION; RANK STATISTICS; SUPERVISED CLASSIFICATION;

EID: 80555154408     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (27)

References (22)
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    • Freund, Y.1    Schapire, R.E.2
  • 11
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
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    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 15
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    • Boosted classification trees and class probability/quantile estimation
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    • Mease, D.1    Wyner, A.J.2    Buja, A.3
  • 17
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    • Soft margins for AdaBoost
    • DOI 10.1023/A:1007618119488
    • Gunnar Rätsch, Takashi Onoda, and Klaus-Robert Müller. Soft margins for AdaBoost. Machine Learning, 42(3):287-320, 2001. (Pubitemid 32188795)
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    • Ratsch, G.1    Onoda, T.2    Muller, K.-R.3
  • 18
    • 70450239631 scopus 로고    scopus 로고
    • The P-Norm Push: A simple convex ranking algorithm that concentrates at the top of the list
    • Cynthia Rudin. The P-Norm Push: A simple convex ranking algorithm that concentrates at the top of the list. Journal of Machine Learning Research (JMLR), 10:2233-2271, 2009.
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  • 19
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    • Margin-based ranking and an equivalence between Ada-Boost and RankBoost
    • Cynthia Rudin and Robert E. Schapire. Margin-based ranking and an equivalence between Ada-Boost and RankBoost. Journal of Machine Learning Research (JMLR), 10:2193-2232, 2009.
    • (2009) Journal of Machine Learning Research (JMLR) , vol.10 , pp. 2193-2232
    • Rudin, C.1    Schapire, R.E.2
  • 21
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    • Cost-sensitive boosting for classification of imbalanced data
    • DOI 10.1016/j.patcog.2007.04.009, PII S0031320307001835
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.