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Volumn 12, Issue 1, 2000, Pages 1-41

Correctness of local probability propagation in graphical models with loops

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; COMPUTER SIMULATION; PROBABILITY; STATISTICAL MODEL;

EID: 84988779772     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976600300015880     Document Type: Article
Times cited : (361)

References (27)
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    • Frey, B. J., Koetter, R., & Vardy, A. (1998). Skewness and pseudocodewords in iterative decoding. In Proc. 1998 ISIT.
    • (1998) Proc. 1998 ISIT
    • Frey, B.J.1    Koetter, R.2    Vardy, A.3
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    • Stochastic relaxation, gibbs distributions, and the Bayesian restoration of images
    • Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans. PAMI, 6(6), 721-741.
    • (1984) IEEE Trans. PAMI , vol.6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 14
    • 0031996401 scopus 로고    scopus 로고
    • Iterative decoding of compound codes by probability propagation in graphical models
    • Kschischang, F. R., & Frey, B. J. (1998). Iterative decoding of compound codes by probability propagation in graphical models. IEEE Journal on Selected Areas in Communication, 16(2), 219-230.
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  • 15
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    • New York: Oxford University Press
    • Lauritzen, S. (1996). Graphical models. New York: Oxford University Press.
    • (1996) Graphical Models
    • Lauritzen, S.1
  • 21
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    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rabiner, L. (1989). A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE, 77(2), 257-286.
    • (1989) Proc. IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.1
  • 22
    • 0031271066 scopus 로고    scopus 로고
    • Belief networks, hidden Markov models, and Markov random fields: A unifying view
    • Smyth, P. (1997). Belief networks, hidden Markov models, and Markov random fields: A unifying view. Pattern Recognition, 18(11), 1261-1268.
    • (1997) Pattern Recognition , vol.18 , Issue.11 , pp. 1261-1268
    • Smyth, P.1
  • 23
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    • Weiss, Y. (1996). Interpreting images by propagating Bayesian beliefs. In M. Mozer, M. Jordan, & T. Petsche (Eds.), Advances in neural information processing systems, 9. Cambridge, MA: MIT Press.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.