A continuous restricted Boltzmann Machine with a hardware-amenable learning algorithm

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2415 LNCS, Issue , 2002, Pages 358-363

  Chen, Hsin ^a   Murray, Alan ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; NEURAL NETWORKS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; ALGORITHMS;

ANALOGUE DATA; GENERATIVE MODEL; RESTRICTED BOLTZMANN MACHINE; HEIDELBERG;

LEARNING ALGORITHMS;

EID: 84902147116     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_58     Document Type: Conference Paper

References (11)

1. Hinton, G.E.: Training Products of Experts by minimising contrastive divergence. Technical Report: Gatsby Comp. Neuroscience Unit, no.TR2000-004. (2000)
2. Smolensky, P.: Information processing in dynamical systems: Foundations of harmony theory. Parallel Distributed Processing. Vol.1 (1986) 195-281
3. Murray, A.F.: Novelty detection using products of simple experts-A potential architecture for embedded systems. Neural Networks 14(9) (2001) 1257-1264
4. Teh, Y.W., Hinton, G.E.: Rate-coded Restricted Boltzmann Machine for face recognition. Advances in Neural Information Processing Systems, Vol.13 (2001)
5. Woodburn, R.J., Astaras, A.A., Dalzell, R.W., Murray, A.F., McNeill, D.K.: Computing with uncertainty in probabilistic neural networks on silicon. Proc. 2nd Int. ICSC Symp. on Neural Computation. (1999) 470-476
6. Movellan, J.R.: A learning theorem for networks at detailed stochastic equilibrium. Neural Computation, Vol.10(5) (1998) 1157-1178
7. Movellan, J.R., Mineiro, P., William, R.J.: A Monte-Carlo EM approach for partially observable diffusion process: Theory and applications to neural network. Neural Computation (In Press)
8. Marks, T.K., Movellan, J.R.: Diffusion networks, products of experts, and factor analysis. UCSD MPLab Technical Report, 2001.02. (2001)
9. Hopfield, J.J.: Neurons with graded response have collective computational properties like those of two-state neurons. Proc. Nat. Academy of Science of the USA, Vol.81(10). (1984) 3088-3092
10. Tarassenko, L., Clifford G.: Detection of ectopic beats in the electrocardiogram using an Auto-associative neural network. Neural Processing Letters, Vol.14(1) (2001) 15-25
11. Fleury, P., Woodburn, R.J., Murray, A.F.: Matching analogue hardware with applications using the Products of Experts algorithm. Proc. IEEE European Symp. on Artificial Neural Networks. (2001)63-67