메뉴 건너뛰기




Volumn 10, Issue , 2009, Pages 2233-2271

The P-norm push: A simple convex ranking algorithm that concentrates at the top of the list

Author keywords

Generalization bounds; Information retrieval; Rankboost; Ranking; ROC

Indexed keywords

CONVEX OBJECTIVES; GENERALIZATION BOUND; GENERALIZATION BOUNDS; QUALITY MEASUREMENTS; RANKBOOST; RANKING ALGORITHM; REPOSITORY DATA;

EID: 70450239631     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (133)

References (36)
  • 7
    • 51049098491 scopus 로고    scopus 로고
    • Ranking and empirical minimization of U-statistics
    • Stéphan Clemençon, Gabor Lugosi, and Nicolas Vayatis. Ranking and empirical minimization of U-statistics. The Annals of Statistics, 36(2): 044-874, 2008.
    • (2008) The Annals of Statistics , vol.36 , Issue.2 , pp. 44-874
    • Clemençon, S.1    Lugosi, G.2    Vayatis, N.3
  • 8
    • 0036643072 scopus 로고    scopus 로고
    • Logistic regression, AdaBoost and Bregman distances
    • 3
    • Michael Collins, Robert E. Schapire, and Yoram Singer. Logistic regression, AdaBoost and Bregman distances. Machine Learning, 48(1/2/3), 2002.
    • (2002) Machine Learning , vol.48 , Issue.1-2
    • Collins, M.1    Schapire, R.E.2    Singer, Y.3
  • 9
    • 34249753618 scopus 로고
    • Support-vector networks
    • September
    • Corinna Cortes and Vladimir Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, September 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 11
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multiclass kernel-based vector machines
    • Koby Crammer and Yoram Singer. On the algorithmic implementation of multiclass kernel-based vector machines. Journal of Machine Learning Research, 2:265-292, 2001.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 12
    • 0036071370 scopus 로고    scopus 로고
    • On the mathematical foundations of learning
    • Felipe Cucker and Steve Smale. On the mathematical foundations of learning. Bull. Amer. Math. Soc. (N.S.), 39(1): 1-49, 2002.
    • (2002) Bull. Amer. Math. Soc. (N.S.) , vol.39 , Issue.1 , pp. 1-49
    • Cucker, F.1    Smale, S.2
  • 15
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • August
    • Yoav Freund and Robert E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1): 119-139, August 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 20
    • 0036104545 scopus 로고    scopus 로고
    • Empirical margin distributions and bounding the generalization error of combined classifiers
    • February
    • Vladimir Koltchinskii and Dmitry Panchenko. Empirical margin distributions and bounding the generalization error of combined classifiers. The Annals of Statistics, 30(1), February 2002.
    • (2002) The Annals of Statistics , vol.30 , Issue.1
    • Koltchinskii, V.1    Panchenko, D.2
  • 23
    • 0001035413 scopus 로고
    • On the method of bounded differences
    • Cambridge University Press
    • Colin McDiarmid. On the method of bounded differences. In Surveys in Combinatorics 1989, pages 148-188. Cambridge University Press, 1989.
    • (1989) Surveys in Combinatorics 1989 , pp. 148-188
    • McDiarmid, C.1
  • 27
    • 70450255147 scopus 로고    scopus 로고
    • Schapire. Margin-based ranking and an equivalence between AdaBoost and RankBoost
    • October
    • Cynthia Rudin and Robert E. Schapire. Margin-based ranking and an equivalence between AdaBoost and RankBoost. Journal of Machine Learning Research, 10:2193-2232, October 2009.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2193-2232
    • Rudin, C.1    Robert, E.2
  • 30
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • October
    • Robert E. Schapire, Yoav Freund, Peter Bartlett, and Wee Sun Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. The Annals of Statistics, 26(5): 1651-1686, October 1998.
    • (1998) The Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Robert, E.1    Schapire, Y.F.2    Bartlett, P.3    Lee, W.S.4
  • 31
    • 33745800276 scopus 로고    scopus 로고
    • Efficient learning of label ranking by soft projections onto polyhedra
    • December
    • Shai Shalev-Shwartz and Yoram Singer. Efficient learning of label ranking by soft projections onto polyhedra. Journal of Machine Learning Research, 7:1567-1599, December 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1567-1599
    • Shalev-Shwartz, S.1    Singer, Y.2
  • 35
    • 26444493144 scopus 로고    scopus 로고
    • Boosting with early stopping - Convergence and consistency
    • Tong Zhang and Bin Yu. Boosting with early stopping - convergence and consistency. The Annals of Statistics, 33(4): 1538-1579, 2005.
    • (2005) The Annals of Statistics , vol.33 , Issue.4 , pp. 1538-1579
    • Zhang, T.1    Yu, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.