Neural Computation

Volume 4 : Issue 6

Table of Contents

• Rule-Based Neural Networks for Classification and Probability Estimation 
  Rodney M. Goodman, Charles M. Higgins, John W. Miller and Padhraic Smyth
  Page 781
• Complex Scheduling with Potts Neural Networks 
  Lars Gisln, Carsten Peterson and Bo Sderberg
  Page 805
• Asymmetric Parallel Boltzmann Machines are Belief Networks 
  Radford M. Neal
  Page 832
• Factoring Networks by a Statistical Method 
  Nelson Morgan and Herv Bourlard
  Page 835
• Maximum Entropy and Learning Theory 
  Griff L. Bilbro and David E. Van den Bout
  Page 839
• Tight Bounds on Transition to Perfect Generalization in Perceptrons 
  Yuh-Dauh Lyuu and Igor Rivin
  Page 854
• Learning Factorial Codes by Predictability Minimization 
  Jrgen Schmidhuber
  Page 863
• How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs 
  H. M. Wabgaonkar and A. R. Stubberud
  Page 880
• Local Learning Algorithms 
  Lon Bottou and Vladimir Vapnik
  Page 888
• Object Discrimination Based on Depth-from-Occlusion 
  Leif H. Finkel and Paul Sajda
  Page 901
• An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons 
  Andrew D. Back and Ah Chung Tsoi
  Page 922
• A Model Circuit for Cortical Temporal Low-Pass Filtering 
  R. Maex and G. A. Orban
  Page 932
• A "Thermal" Perceptron Learning Rule 
  Marcus Frean
  Page 946
• Acknowledgment to Reviewers 
  
  Page 958
• Index 
  
  Page 961