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Volumn , Issue , 2009, Pages 897-904

Surrogate regret bounds for proper losses

Author keywords

[No Author keywords available]

Indexed keywords

BREGMAN DIVERGENCES; INTEGRAL REPRESENTATION; TAYLOR'S THEOREM;

EID: 71149121122     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (18)
  • 3
    • 78649433471 scopus 로고    scopus 로고
    • Machine learning techniques - reductions between prediction quality metrics
    • Preprint
    • Beygelzimer, A., Langford, J., & Zadrozny, B. (2008). Machine learning techniques - reductions between prediction quality metrics. Preprint.
    • (2008)
    • Beygelzimer, A.1    Langford, J.2    Zadrozny, B.3
  • 4
    • 33947253079 scopus 로고    scopus 로고
    • Loss functions for binary class probability estimation and classification: Structure and applications
    • University of Pennsylvania
    • Buja, A., Stuetzle, W., & Shen, Y. (2005). Loss functions for binary class probability estimation and classification: Structure and applications (Technical Report). University of Pennsylvania.
    • (2005) Technical Report
    • Buja, A.1    Stuetzle, W.2    Shen, Y.3
  • 10
    • 33947426775 scopus 로고    scopus 로고
    • On divergences and informations in statistics and information theory
    • Liese, F., & Vajda, I. (2006). On divergences and informations in statistics and information theory. IEEE Transactions on Information Theory, 52, 4394-4412.
    • (2006) IEEE Transactions on Information Theory , vol.52 , pp. 4394-4412
    • Liese, F.1    Vajda, I.2
  • 12
    • 70049096242 scopus 로고    scopus 로고
    • Information, divergence and risk for binary experiments. arXiv
    • preprint arXiv:0901.0356vl, 89 pages
    • Reid, M. D., & Williamson, R. C. (2009). Information, divergence and risk for binary experiments. arXiv preprint arXiv:0901.0356vl, 89 pages.
    • (2009)
    • Reid, M.D.1    Williamson, R.C.2
  • 14
    • 0010300077 scopus 로고
    • A general method for comparing probability assessors
    • Schervish, M. (1989). A general method for comparing probability assessors. The Annals of Statistics, 17, 1856-1879.
    • (1989) The Annals of Statistics , vol.17 , pp. 1856-1879
    • Schervish, M.1
  • 15
    • 0013920744 scopus 로고
    • Admissible probability measurement procedures
    • Shuford, E., Albert, A., & Massengill, H. (1966). Admissible probability measurement procedures. Psychometrika, 31, 125-145.
    • (1966) Psychometrika , vol.31 , pp. 125-145
    • Shuford, E.1    Albert, A.2    Massengill, H.3
  • 16
    • 34547483052 scopus 로고    scopus 로고
    • How to compare different loss functions and their risks
    • Steinwart, I. (2007). How to compare different loss functions and their risks. Constructive Approximation, 26, 225-287.
    • (2007) Constructive Approximation , vol.26 , pp. 225-287
    • Steinwart, I.1
  • 17
    • 85041123735 scopus 로고    scopus 로고
    • Divergence function, duality, and convex analysis
    • Zhang, J. (2004a). Divergence function, duality, and convex analysis. Neural Computation, 16, 159-195.
    • (2004) Neural Computation , vol.16 , pp. 159-195
    • Zhang, J.1
  • 18
    • 4644257995 scopus 로고    scopus 로고
    • Statistical behaviour and consistency of classification methods based on convex risk minimization
    • Zhang, T. (2004b). Statistical behaviour and consistency of classification methods based on convex risk minimization. Annals of Mathematical Statistics, 32, 56-134.
    • (2004) Annals of Mathematical Statistics , vol.32 , pp. 56-134
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.