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Volumn 25, Issue 1-3, 1999, Pages 73-79

Bayesian classification by iterated weighting

Author keywords

Bayesian methods; Classification; EM algorithm

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 0032905966     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(98)00110-6     Document Type: Article
Times cited : (4)

References (11)
  • 3
    • 0002629270 scopus 로고
    • Maximium likelihood from incomplete data and the EM algorithm
    • Dempster A., Laird N., Rubin D. Maximium likelihood from incomplete data and the EM algorithm. J. Roy Statist. Soc. Ser. B. 39:1977;1-39.
    • (1977) J. Roy Statist. Soc. Ser. B , vol.39 , pp. 1-39
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 9
    • 0001595997 scopus 로고
    • Neural network classifiers estimate Bayesian a posteriori probabilities
    • Richard M.D., Lipmann R.P. Neural network classifiers estimate Bayesian a posteriori probabilities. Neural Comput. 3:1991;461-483.
    • (1991) Neural Comput. , vol.3 , pp. 461-483
    • Richard, M.D.1    Lipmann, R.P.2
  • 10
    • 0030241786 scopus 로고    scopus 로고
    • Multi-dimensional density shaping by sigmoids
    • Roth Z., Baram Y. Multi-dimensional density shaping by sigmoids. IEEE Trans. Neural Networks. 7(5):1996;1291-1298.
    • (1996) IEEE Trans. Neural Networks , vol.7 , Issue.5 , pp. 1291-1298
    • Roth, Z.1    Baram, Y.2
  • 11


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.