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Volumn 11, Issue 2, 1998, Pages 271-282

Deterministic annealing EM algorithm

Author keywords

Deterministic annealing; EM algorithm; Maximum entropy principle; Maximum likelihood estimation; Probabilistic neural networks

Indexed keywords

MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; PERFORMANCE; PROBABILITY; SIMULATED ANNEALING; VECTOR QUANTIZATION;

EID: 0032029288     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(97)00133-0     Document Type: Article
Times cited : (396)

References (22)
  • 1
    • 0009055376 scopus 로고
    • Complexity optimized data clustering by competitive neural networks
    • Buhmann J., Kuhnel H. Complexity optimized data clustering by competitive neural networks. Neural Computation. 5:1993;75-88.
    • (1993) Neural Computation , vol.5 , pp. 75-88
    • Buhmann, J.1    Kuhnel, H.2
  • 2
    • 0026898265 scopus 로고
    • Alternating minimization and Boltzmann machine learning
    • Byrne W. Alternating minimization and Boltzmann machine learning. IEEE Trans. Neural Networks. 3:1992;612-620.
    • (1992) IEEE Trans. Neural Networks , vol.3 , pp. 612-620
    • Byrne, W.1
  • 4
    • 0022807153 scopus 로고
    • Maximum entropy as a special case of the minimum description length criterion
    • Feder M. Maximum entropy as a special case of the minimum description length criterion. IEEE Trans. Inf. Theory. 32(6):1986;847-849.
    • (1986) IEEE Trans. Inf. Theory , vol.32 , Issue.6 , pp. 847-849
    • Feder, M.1
  • 5
    • 0021518209 scopus 로고
    • Stochastic relaxation, Gibbs distribution and the Bayesian restoration in images
    • Geman S., Geman D. Stochastic relaxation, Gibbs distribution and the Bayesian restoration in images. IEEE Trans. Pattern Anal. Machine Intell. 6(6):1984;721-741.
    • (1984) IEEE Trans. Pattern Anal. Machine Intell. , vol.6 , Issue.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 6
    • 0001551844 scopus 로고
    • Supervised learning from incomplete data via an EM approach
    • In J. Cowan et al. (Eds.), Morgan Kaufmann.
    • Ghahramani, Z. & Jordan, M.I. (1994). Supervised learning from incomplete data via an EM approach. In J. Cowan et al. (Eds.), Advances in NIPS 6 (pp. 120-127). Morgan Kaufmann.
    • (1994) Advances in NIPS , vol.6 , pp. 120-127
    • Ghahramani, Z.1    Jordan, M.I.2
  • 7
    • 0029652445 scopus 로고
    • The 'wake-sleep' algorithm for unsupervised neural networks
    • Hinton G.E., Dayan P., Frey B.J., Neal R.M. The 'wake-sleep' algorithm for unsupervised neural networks. Science. 268(26):1995;1158-1161.
    • (1995) Science , vol.268 , Issue.26 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 9
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • Jordan M.I., Jacob R.A. Hierarchical mixtures of experts and the EM algorithm. Neural Computation. 6:1994;181-214.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacob, R.A.2
  • 11
    • 0345285347 scopus 로고
    • A new view of the EM algorithm that justifies incremental and other variants
    • (submitted).
    • Neal, R.M. and Hinton, G.E. (1993). A new view of the EM algorithm that justifies incremental and other variants. Biometrika (submitted).
    • (1993) Biometrika
    • Neal, R.M.1    Hinton, G.E.2
  • 12
    • 0030263137 scopus 로고    scopus 로고
    • Adaptability of K-L expansion technique for ambiguous face image retrieval
    • Oda M., Akamatsu S., Fukamachi H. Adaptability of K-L expansion technique for ambiguous face image retrieval. Electron. Commun. Jpn. 79(10):1996;35-46.
    • (1996) Electron. Commun. Jpn. , vol.79 , Issue.10 , pp. 35-46
    • Oda, M.1    Akamatsu, S.2    Fukamachi, H.3
  • 13
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen J. Modeling by shortest data description. Automatica. 14:1978;465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 14
    • 84899025015 scopus 로고
    • Vector quantization by deterministic annealing
    • Rose K., Gurewitz E., Fox G.C. Vector quantization by deterministic annealing. IEEE Trans. Inf. Theory. 38(4):1992;1249-1257.
    • (1992) IEEE Trans. Inf. Theory , vol.38 , Issue.4 , pp. 1249-1257
    • Rose, K.1    Gurewitz, E.2    Fox, G.C.3
  • 15
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht D.F. Probabilistic neural networks. Neural Networks. 3:1990;109-118.
    • (1990) Neural Networks , vol.3 , pp. 109-118
    • Specht, D.F.1
  • 16
    • 0028497290 scopus 로고
    • Maximum likelihood training of probabilistic neural networks
    • Streit R.L., Luginbuhl T.E. Maximum likelihood training of probabilistic neural networks. IEEE Trans. Neural Networks. 5(5):1994;764-783.
    • (1994) IEEE Trans. Neural Networks , vol.5 , Issue.5 , pp. 764-783
    • Streit, R.L.1    Luginbuhl, T.E.2
  • 17
    • 0026151470 scopus 로고
    • A neural network approach to statistical pattern classification by semiparametric estimation of probability density functions
    • Traven H.G.C. A neural network approach to statistical pattern classification by semiparametric estimation of probability density functions. IEEE Trans. Neural Networks. 2(3):1991;366-377.
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.3 , pp. 366-377
    • Traven, H.G.C.1
  • 18
    • 0028712093 scopus 로고
    • Mixture density estimation via EM algorithm with deterministic annealing
    • Greece. New York: IEEE. 69-77).
    • Ueda, N. & Nakano, R. (1994). Mixture density estimation via EM algorithm with deterministic annealing. In Proceedings of the IEEE Neural Networks for Signal Processing (pp. 69-77). Greece. New York: IEEE.
    • (1994) In Proceedings of the IEEE Neural Networks for Signal Processing , pp. 69-77
    • Ueda, N.1    Nakano, R.2
  • 20
    • 85153928885 scopus 로고
    • Deterministic annealing variant of the EM algorithm
    • In G. Tesauro et al. (Eds.), Cambridge, MA: MIT Press. 545-552).
    • Ueda, N. & Nakano, R. (1995b). Deterministic annealing variant of the EM algorithm. In G. Tesauro et al. (Eds.), Advances in NIPS 7 (pp. 545-552). Cambridge, MA: MIT Press.
    • (1995) Advances in NIPS , vol.7 , pp. 545-552
    • Ueda, N.1    Nakano, R.2
  • 21
    • 0002449582 scopus 로고
    • Clustering data by melting
    • Wong Y. Clustering data by melting. Neural Computation. 5:1993;89-104.
    • (1993) Neural Computation , vol.5 , pp. 89-104
    • Wong, Y.1
  • 22
    • 0001375902 scopus 로고
    • Statistical physics, mixtures of distributions and the EM algorithm
    • Yuille A.L., Stolorz P., Utans J. Statistical physics, mixtures of distributions and the EM algorithm. Neural Computation. 6:1994;334-340.
    • (1994) Neural Computation , vol.6 , pp. 334-340
    • Yuille, A.L.1    Stolorz, P.2    Utans, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.