Neural Computation

Volume 6 : Issue 2

Table of Contents

• Hierarchical Mixtures of Experts and the EM Algorithm 
  Michael I. Jordan and Robert A. Jacobs
  Page 181
• TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play 
  Gerald Tesauro
  Page 215
• Correlated Attractors from Uncorrelated Stimuli 
  L. F. Cugliandolo
  Page 220
• Learning of Phase Lags in Coupled Neural Oscillators 
  Bard Ermentrout and Nancy Kopell
  Page 225
• A Mechanism for Neuronal Gain Control by Descending Pathways 
  Mark E. Nelson
  Page 242
• The Role of Weight Normalization in Competitive Learning 
  Geoffrey J. Goodhill and Harry G. Barrow
  Page 255
• A Probabilistic Resource Allocating Network for Novelty Detection 
  Stephen Roberts and Lionel Tarassenko
  Page 270
• Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima 
  William Finnoff
  Page 285
• Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity 
  Franoise Beaufays and Eric A. Wan
  Page 296
• Smooth On-Line Learning Algorithms for Hidden Markov Models 
  Pierre Baldi and Yves Chauvin
  Page 307
• On Functional Approximation with Normalized Gaussian Units 
  Michel Benaim
  Page 319
• Statistical Physics, Mixtures of Distributions, and the EM Algorithm 
  Alan L. Yuille, Paul Stolorz and Joachim Utans
  Page 334