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Gatsby Computational Neuroscience
Unit
Alexandra House . 17 Queen
Square . LONDON . WC1N 3AR . U.K.
Tel +44 (0) 20 7679 1176 . Fax +44 (0) 20 7679 1173 . admin@gatsby.ucl.ac.uk
Geoffrey E. Hinton's
Publications
Other Neural Network Learning Algorithms
Online versions [if available] can be found in my chronological publications
- Becker, S. and Hinton, G. E. (1993)
Learning mixture models of spatial coherence.
Neural Computation 5, 267-277.
- Nowlan. S. J. and Hinton, G. E. (1993)
A soft decision-directed LMS algorithm for blind equalization.
IEEE Transactions on Communications, 41.
- Becker, S. and Hinton, G. E. (1992)
A self-organizing neural network that discovers surfaces in random-dot stereograms.
Nature, 355:6356, 161-163.
- Hinton, G. E. and Nowlan, S. J. (1990)
The bootstrap Widrow-Hoff rule as a cluster-formation algorithm.
Neural Computation, 2, 355-362.
- LeCun, Y., Galland, C. C., and Hinton, G. E. (1989)
GEMINI: Gradient Estimation by Matrix Inversion after Noise Injection.
In Touretzky, D. S., (Ed.) Neural Information Processing Systems 1, Morgan Kaufmann: San
Mateo, CA.
- Hinton, G. E. and McClelland, J. L. (1988)
Learning representations by recirculation.
In D. Z. Anderson, editor, Neural Information Processing Systems, pages 358--366,
American Institute of Physics: New York.
- Pearlmutter, B. A. and Hinton, G. E. (1986)
G-maximization: An unsupervised learning procedure for discovering regularities.
In Denker, J., editor, Neural Networks for Computing, American Institute of
Physics.
Other Learning Algorithms
- Dayan, P. and Hinton, G. E. (1997)
Using EM for reinforcement learning.
Neural Computation, 9, 271-278.
[abstract] [ps.gz] [pdf]
- Hinton, G. E. and Revow, M. (1996)
Using pairs of data-points to define splits for decision trees.
Advances in Neural Information Processing Systems 8. D.S. Touretzky, M.C. Mozer
and M.E. Hasselmo. MIT Press.
[abstract] [ps] [pdf]
- Ghahramani, Z. and Hinton, G. E. (1996)
The EM algorithm for mixtures of factor analyzers.
Technical Report CRG-TR-96-1, University of Toronto.
- Ghahramani, Z. and Hinton, G. E. (1996)
Parameter estimation for linear dynamical systems.
Technical Report CRG-TR-96-2, University of Toronto.
- Dayan, P. and Hinton, G. E. (1993)
Feudal reinforcement learning.
Advances in Neural Information Processing Systems 5. S. J. Hanson, J. D. Cowan
and C. L. Giles (Eds.), Morgan Kaufmann: San Mateo, CA.
[abstract] [ps.gz] [pdf]
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