| 781 | -- | 804 | Rodney M. Goodman, Charles M. Higgins, John W. Miller, Padhraic Smyth. Rule-Based Neural Networks for Classification and Probability Estimation |
| 805 | -- | 831 | Lars Gislén, Carsten Peterson, Bo Söderberg. Complex Scheduling with Potts Neural Networks |
| 832 | -- | 834 | Radford M. Neal. Asymmetric Parallel Boltzmann Machines are Belief Networks |
| 835 | -- | 838 | Nelson Morgan, Hervé Bourlard. Factoring Networks by a Statistical Method |
| 839 | -- | 853 | Griff L. Bilbro, David E. van den Bout. Maximum Entropy and Learning Theory |
| 854 | -- | 862 | Yuh-Dauh Lyuu, Igor Rivin. Tight Bounds on Transition to Perfect Generalization in Perceptrons |
| 880 | -- | 887 | H. M. Wabgaonkar, Allen R. Stubberud. How to Incorporate New Pattern Pairs without Having to Teach the Previously Acquired Pattern Pairs |
| 888 | -- | 900 | Léon Bottou, Vladimir Vapnik. Local Learning Algorithms |
| 901 | -- | 921 | Leif H. Finkel, Paul Sajda. Object Discrimination Based on Depth-from-Occlusion |
| 922 | -- | 931 | Andrew D. Back, Ah Chung Tsoi. An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons |
| 932 | -- | 945 | Reinoud Maex, Guy A. Orban. A Model Circuit for Cortical Temporal Low-Pass Filtering |
| 946 | -- | 957 | Marcus R. Frean. A Thermal Perceptron Learning Rule |