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UCL

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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