165 | -- | 199 | O. Nerrand, Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, S. Marcos. Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms |
200 | -- | 204 | Rajagopal Srinivasan, Hillel J. Chiel. Fast Calculation of Synaptic Conductances |
205 | -- | 209 | Peter Dayan, Terrence J. Sejnowski. The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning |
210 | -- | 212 | Gary D. Kendall, Trevor J. Hall. Optimal Network Construction by Minimum Description Length |
213 | -- | 227 | Diana E. J. Blazis, Thomas M. Fischer, Thomas J. Carew. A Neural Network Model of Inhibitory Information Processing in ::::Aplysia:::: |
228 | -- | 241 | Christiane Linster, Claudine Masson, Michel Kerszberg, Léon Personnaz, Gérard Dreyfus. Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus |
242 | -- | 259 | Sungzoon Cho, James A. Reggia. Learning Competition and Cooperation |
260 | -- | 266 | David E. Cairns, Roland J. Baddeley, Leslie S. Smith. Constraints on Synchronizing Oscillator Networks |
267 | -- | 277 | Suzanna Becker, Geoffrey E. Hinton. Learning Mixture Models of Spatial Coherence |
278 | -- | 288 | Yaser S. Abu-Mostafa. Hints and the VC Dimension |
289 | -- | 304 | A. Norman Redlich. Redundancy Reduction as a Strategy for Unsupervised Learning |
305 | -- | 316 | Jooyoung Park, Irwin W. Sandberg. Approximation and Radial-Basis-Function Networks |
317 | -- | 330 | Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep Govil. A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results |
331 | -- | 339 | Mattias Ohlsson, Carsten Peterson, Bo Söderberg. Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem |