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Volumn 3, Issue , 2012, Pages 2195-2203

Learning from the wisdom of crowds by minimax entropy

Author keywords

[No Author keywords available]

Indexed keywords

COORDINATE DESCENT; ENTROPY PRINCIPLE; GROUND TRUTH; KULLBACK-LEIBLER DIVERGENCE; MINIMAX; NOISY LABELS; TRAINING SETS; WISDOM OF CROWDS;

EID: 84877729010     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (318)

References (22)
  • 4
    • 84872821880 scopus 로고    scopus 로고
    • CrowdFlower. http://crowdflower.com/.
    • CrowdFlower
  • 5
    • 0003102944 scopus 로고
    • Maximum likeihood estimation of observer error-rates using the em algorithm
    • A. P. Dawid and A. M. Skene. Maximum likeihood estimation of observer error-rates using the EM algorithm. Journal of the Royal Statistical Society, 28(1):20-28, 1979.
    • (1979) Journal of the Royal Statistical Society , vol.28 , Issue.1 , pp. 20-28
    • Dawid, A.P.1    Skene, A.M.2
  • 9
    • 34250663051 scopus 로고    scopus 로고
    • Maximum entropy density estimation with generalized regularization and an application to species distribution modeling
    • M. Dudik, S. J. Phillips, and R. E. Schapire. Maximum entropy density estimation with generalized regularization and an application to species distribution modeling. Journal of Machine Learning Research, 8:1217-1260, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1217-1260
    • Dudik, M.1    Phillips, S.J.2    Schapire, R.E.3
  • 15
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • M. I. Jordan, editor, Kluwer Academic, Dordrecht, MA
    • R. M. Neal and G. E. Hinton. A view of the EM algorithm that justifies incremental, sparse, and other variants. In M. I. Jordan, editor, Learning in Graphical Models, pages 355-368. Kluwer Academic, Dordrecht, MA, 1998.
    • (1998) Learning in Graphical Models , pp. 355-368
    • Neal, R.M.1    Hinton, G.E.2
  • 22
    • 0000806445 scopus 로고    scopus 로고
    • Minimax entropy principle and its applications to texture modeling
    • S. C. Zhu, Y. N. Wu, and D. B. Mumford. Minimax entropy principle and its applications to texture modeling. Neural Computation, 9:1627-1660, 1997.
    • (1997) Neural Computation , vol.9 , pp. 1627-1660
    • Zhu, S.C.1    Wu, Y.N.2    Mumford, D.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.