NEURAL COMPUTATION 6:2

[Terry Sejnowski]

Neural Computation  March 1994  Volume 6  Issue 2

Article:

Hierarchical Mixtures of Experts and the EM Algorithm
        Michael I. Jordan and Robert A. Jacobs

Notes:

TD-Gammon, A Self-Teaching Backgammon Program, Achieves Master-Level Play
        Gerald Tesauro 

Correlated Attractors from Uncorrelated Stimuli
        L.F. Cugliandolo
        
Letters:

Learning of Phase-lags in Coupled Neural Oscillators
        Bard Ermentrout and Nancy Kopell
        
A Mechanism for Neuronal Gain Control by Descending Pathways
        Mark E. Nelson

The Role of Weight Normalization in Competitive Learning
        Geoffrey J. Goodhill and Harry G. Barrow

A Probabilistic Resource Allocating Network for Novelty Detection
        Stephen Roberts and Lionel Tarassenko

Diffusion Approximations for the Constant Learning Rate 
Backpropagation Algorithm and Resistance to Local Minima
        William Finnoff

Relating Real-time Backpropagation and Back-propagation Through Time:
An Application of Flow Graph Interreciprocity
        Francoise Beaufays and Eric A. Wan

Smooth On-line Learning Algorithms for Hidden Markov Models
        Pierre Baldi and Yves Chauvin

On Functional Approximation with Normalized Gaussian Units
        Michel Benaim

Statistical Physics, Mixtures of Distributions and the EM Algorithm
        Yuille, A.L., Stolorz, P., and Utans, J.


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