Consistency of pseudolikelihood estimation of fully visible Boltzmann machines

Neural Computation

Volumn 18, Issue 10, 2006, Pages 2283-2292

  Hyvärinen, Aapo ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; HUMAN; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; NEURAL NETWORKS (COMPUTER);

EID: 33749425692     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2006.18.10.2283     Document Type: Article

References (9)

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3. Carreira-Perpiñán, M. A., & Hinton, G. E. (2005). On contrastive divergence learning. In Proc. Workshop on Artificial Intelligence and Statistics (AISTATS2005). Barbados.
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7. Kappen, H., & Rodriguez, F. (1998). Efficient learning in Boltzmann machines using linear response theory. Neural Computation, 10(5), 1137-1156.
8. Mase, S. (1995). Consistency of the maximum pseudo-likelihood estimator of continuous state space Gibbsian processes. Annals of Applied Probability, 5(3), 603-612.
9. Welling, M., & Sutton, C. (2005). Learning Markov random fields using contrastive free energies. In Proc. Workshop on Artificial Intelligence and Statistics (AISTATS 2005). Barbados.