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Volumn 33, Issue , 2014, Pages 850-858

Class proportion estimation with application to multiclass anomaly rejection

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENCHMARKING; STATISTICAL TESTS;

EID: 84955479515     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (14)
  • 1
    • 0001536105 scopus 로고
    • On the non-parametric estimation of mixture proportions
    • P. Hall. On the non-parametric estimation of mixture proportions. Journal of the Royal Statistical Society, 43(2):147-156, 1981.
    • (1981) Journal of the Royal Statistical Society , vol.43 , Issue.2 , pp. 147-156
    • Hall, P.1
  • 2
    • 0004096410 scopus 로고
    • Minimum distance non-parametric estimation of mixture proportions
    • D. M. Titterington. Minimum distance non-parametric estimation of mixture proportions. Journal of the Royal Statistical Society, 45(1):37-46, 1983.
    • (1983) Journal of the Royal Statistical Society , vol.45 , Issue.1 , pp. 37-46
    • Titterington, D.M.1
  • 3
    • 21144453941 scopus 로고    scopus 로고
    • Nonparametric estimation of component distributions in a multivariate mixture
    • P. Hall and X.-H. Zhou. Nonparametric estimation of component distributions in a multivariate mixture. Annals of Statistics, 31(1):201-224, 2003.
    • (2003) Annals of Statistics , vol.31 , Issue.1 , pp. 201-224
    • Hall, P.1    Zhou, X.-H.2
  • 4
    • 4744367074 scopus 로고    scopus 로고
    • Adjusting the outputs of a classier to new a priori probabilities may signicantly improve classication accuracy: Evidence from a multi-class problem in remote sensing
    • C. Sammut and A. H. Hoffmann, editors
    • P. Latinne, M. Saerens, and C. Decaestecker. Adjusting the outputs of a classier to new a priori probabilities may signicantly improve classication accuracy: Evidence from a multi-class problem in remote sensing. In C. Sammut and A. H. Hoffmann, editors, Proc. 18th Int. Conf. on Machine Learning, pages 298-305, 2001.
    • (2001) Proc. 18th Int. Conf. on Machine Learning , pp. 298-305
    • Latinne, P.1    Saerens, M.2    Decaestecker, C.3
  • 5
    • 84867122342 scopus 로고    scopus 로고
    • Semi-supervised learning of class balance under class-prior change by distribution matching
    • J. Langford and J. Pineau, editors
    • M. C. Du Plessis and M. Sugiyama. Semi-supervised learning of class balance under class-prior change by distribution matching. In J. Langford and J. Pineau, editors, Proc. 29th Int. Conf. on Machine Learning, pages 823-830, 2012.
    • (2012) Proc. 29th Int. Conf. on Machine Learning , pp. 823-830
    • Du Plessis, M.C.1    Sugiyama, M.2
  • 12
    • 0033851753 scopus 로고    scopus 로고
    • Regression models for convex ROC curves
    • September
    • C. Lloyd. Regression models for convex ROC curves. Biometrics, 56(3):862-867, September 2000.
    • (2000) Biometrics , vol.56 , Issue.3 , pp. 862-867
    • Lloyd, C.1
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.