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Volumn , Issue , 2006, Pages

Scalable inference in hierarchical generative models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL NEUROSCIENCE; GENERATIVE MODEL; INFERENCE ALGORITHM; STATISTICAL MODELS; VISUAL CORTEXES;

EID: 84864542083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (15)
  • 2
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39 (Series B):1-38, 1977.
    • (1977) Journal of the Royal Statistical Society , vol.39 , Issue.SERIES B , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 4
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • G. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14:1771-1800, 2002.
    • (2002) Neural Computation , vol.14 , pp. 1771-1800
    • Hinton, G.1
  • 5
    • 84862625369 scopus 로고    scopus 로고
    • Learning causally linked Markov random fields
    • Robert G. Cowell and Zoubin Ghahramani, editors, January 6-8, 2005, Savannah Hotel, Barbados, Society for Artificial Intelligence and Statistics
    • Geoffrey E. Hinton, Simon Osindero, and Kejie Bao. Learning causally linked Markov random fields. In Robert G. Cowell and Zoubin Ghahramani, editors, Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics, January 6-8, 2005, Savannah Hotel, Barbados, pages 128-135. Society for Artificial Intelligence and Statistics, 2005.
    • (2005) Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics , pp. 128-135
    • Hinton, G.E.1    Osindero, S.2    Bao, K.3
  • 6
    • 85016113380 scopus 로고    scopus 로고
    • A fast learning algorithm for deep belief nets
    • Submitted to
    • Geoffrey E. Hinton, Simon Osindero, and Yee-Whye Teh. A fast learning algorithm for deep belief nets. Submitted to Neural Computation, 2005.
    • (2005) Neural Computation
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 8
    • 0001006209 scopus 로고
    • Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems
    • Steffen L. Lauritzen and David J. Spiegelhalter. Local computations with probabilities on graphical structures and their application to expert systems. Journal of the Royal Statistical Society, 50(2):157-194, 1988.
    • (1988) Journal of the Royal Statistical Society , vol.50 , Issue.2 , pp. 157-194
    • Lauritzen, S.L.1    David, J.2
  • 9
    • 0042565834 scopus 로고    scopus 로고
    • Hierarchical Bayesian inference in the visual cortex
    • July
    • Tai Sing Lee and David Mumford. Hierarchical Bayesian inference in the visual cortex. Journal of the Optical Society of America, 2(7):1434-1448, July 2003.
    • (2003) Journal of the Optical Society of America , vol.2 , Issue.7 , pp. 1434-1448
    • Lee, T.S.1    Mumford, D.2
  • 12
    • 0023440173 scopus 로고
    • Distributed revision of composite beliefs
    • Judea Pearl. Distributed revision of composite beliefs. Artificial Intelligence, 33:173-216, 1987.
    • (1987) Artificial Intelligence , vol.33 , pp. 173-216
    • Pearl, J.1
  • 14
    • 0141695638 scopus 로고    scopus 로고
    • Understanding belief propagation and its generalizations
    • Morgan Kaufmann Publishers Inc., San Francisco
    • Jonathan S. Yedidia, William T. Freeman, and Yair Weiss. Understanding belief propagation and its generalizations. In Exploring artificial intelligence in the new millennium, pages 239-269. Morgan Kaufmann Publishers Inc., San Francisco, 2003.
    • (2003) Exploring Artificial Intelligence in the New Millennium , pp. 239-269
    • Yedidia, J.S.1    Freeman, W.T.2    Weiss, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.