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Volumn 6, Issue , 2005, Pages

Generalization bounds for the area under the ROC curve

Author keywords

Area under the ROC curve; Generalization bounds; Large deviations; Ranking; Uniform convergence

Indexed keywords

COMBINATORIAL MATHEMATICS; ERROR ANALYSIS; ERRORS; FUNCTIONS; PROBABILITY;

EID: 21844440820     PISSN: 15337928     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (228)

References (26)
  • 8
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    • AUC optimization vs. error rate minimization
    • Sebastian Thrun, Lawrence Saul, and Bernhard Schölkopf, editors. MIT Press
    • Corinna Cortes and Mehryar Mohri. AUC optimization vs. error rate minimization. In Sebastian Thrun, Lawrence Saul, and Bernhard Schölkopf, editors, Advances in Neural Information Processing Systems 16. MIT Press, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16
    • Cortes, C.1    Mohri, M.2
  • 10
    • 84898958855 scopus 로고    scopus 로고
    • Pranking with ranking
    • T. G. Dietterich, S. Becker, and Z. Ghahramani, editors. MIT Press
    • Koby Crammer and Yoram Singer. Pranking with ranking. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 641-647. MIT Press, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14 , pp. 641-647
    • Crammer, K.1    Singer, Y.2
  • 12
    • 0002533759 scopus 로고
    • Exponential inequalities in nonparametric estimation
    • G. Roussas, editor, NATO ASI Series. Kluwer Academic Publishers
    • Luc Devroye. Exponential inequalities in nonparametric estimation. In G. Roussas, editor, Non-parametric Functional Estimation and Related Topics, NATO ASI Series, pages 31-44. Kluwer Academic Publishers, 1991.
    • (1991) Non-parametric Functional Estimation and Related Topics , pp. 31-44
    • Devroye, L.1
  • 17
    • 21244457634 scopus 로고    scopus 로고
    • PAC-Bayesian compression bounds on the prediction error of learning algorithms for classification
    • To appear
    • Thore Graepel, Ralf Herbrich, and John Shawe-Taylor. PAC-Bayesian compression bounds on the prediction error of learning algorithms for classification. Machine Learning, 2005. To appear.
    • (2005) Machine Learning
    • Graepel, T.1    Herbrich, R.2    Shawe-Taylor, J.3
  • 18
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • James A. Hanley and Barbara J. McNeil. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143:29-36, 1982.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 22
    • 0041995194 scopus 로고
    • Relating data compression and learnability
    • University of California Santa Cruz
    • Nick Littlestone and Manfred Warmuth. Relating data compression and learnability. Technical report, University of California Santa Cruz, 1986.
    • (1986) Technical Report
    • Littlestone, N.1    Warmuth, M.2
  • 24
    • 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


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.