A learning algorithm for boltzmann machines

Cognitive Science

Volumn 9, Issue 1, 1985, Pages 147-169

  Ackley, David H ^a   Hinton, Geoffrey E ^a   Sejnowski, Terrence J ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001578518     PISSN: 03640213     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0364-0213(85)80012-4     Document Type: Article

References (28)

1. The QBKG system: Generating explanations from a non-discrete knowledge representation
2. The Hashnet Interconnection Scheme
3. Massively parallel architectures for AI: NETL, Thistle, and Boltzmann Machines
4. Dynamic connections in neural networks
5. Connectionist models and their properties
6. Relaxation and its role in vision
7. Implementing semantic networks in parallel hardware
8. Analyzing cooperative computation
9. Optimal perceptual inference
10. Boltzmann Machines: Constraint satisfaction networks that learn
11. Neural networks and physical systems with emergent collective computational abilities
12. Optimization by simulated annealing
13. Equation of state calculations for fast computing machines
14. Intellectual issues in the history of artificial intelligence
15. A theory of memory retrieval
16. Schema selection and stochastic inference in modular environments
17. Understanding line drawings of scenes with shadows