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Volume 6, Issue 2
March 1994
Neural Computation Cover Image for Volume 6, Issue 2
All Issues
ISSN 0899-7667
EISSN 1530-888X
In this Issue

Article

Hierarchical Mixtures of Experts and the EM Algorithm
Michael I. Jordan, Robert A. Jacobs
Neural Computation (1994) 6 (2): 181–214.
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Notes

TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
Gerald Tesauro
Neural Computation (1994) 6 (2): 215–219.
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Correlated Attractors from Uncorrelated Stimuli
L. F. Cugliandolo
Neural Computation (1994) 6 (2): 220–224.
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Letters

Learning of Phase Lags in Coupled Neural Oscillators
Bard Ermentrout, Nancy Kopell
Neural Computation (1994) 6 (2): 225–241.
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A Mechanism for Neuronal Gain Control by Descending Pathways
Mark E. Nelson
Neural Computation (1994) 6 (2): 242–254.
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The Role of Weight Normalization in Competitive Learning
Geoffrey J. Goodhill, Harry G. Barrow
Neural Computation (1994) 6 (2): 255–269.
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A Probabilistic Resource Allocating Network for Novelty Detection
Stephen Roberts, Lionel Tarassenko
Neural Computation (1994) 6 (2): 270–284.
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Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima
William Finnoff
Neural Computation (1994) 6 (2): 285–295.
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Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity
Françoise Beaufays, Eric A. Wan
Neural Computation (1994) 6 (2): 296–306.
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Smooth On-Line Learning Algorithms for Hidden Markov Models
Pierre Baldi, Yves Chauvin
Neural Computation (1994) 6 (2): 307–318.
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On Functional Approximation with Normalized Gaussian Units
Michel Benaim
Neural Computation (1994) 6 (2): 319–333.
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Statistical Physics, Mixtures of Distributions, and the EM Algorithm
Alan L. Yuille, Paul Stolorz, Joachim Utans
Neural Computation (1994) 6 (2): 334–340.
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