| 867 | -- | 888 | Robert A. Jacobs. Methods for combining experts probability assessments |
| 889 | -- | 904 | Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel. The Helmholtz machine |
| 905 | -- | 914 | C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen. Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts |
| 915 | -- | 922 | John L. Wyatt Jr., Ibrahim M. Elfadel. Time-Domain Solutions of Oja's Equations |
| 923 | -- | 930 | Mikel L. Forcada, Rafael C. Carrasco. Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference |
| 931 | -- | 949 | René Alquézar, Alberto Sanfeliu. An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks |
| 950 | -- | 973 | Vijay V. Phansalkar, M. A. L. Thathachar. Local and Global Optimization Algorithms for Generalized Learning Automata |
| 974 | -- | 981 | Todd K. Leen. From Data Distributions to Regularization in Invariant Learning |
| 982 | -- | 999 | Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski, Pentti Huuhtanen. Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm |
| 1000 | -- | 1020 | Jason A. S. Freeman, David Saad. Learning and generalization in radial basis function networks |
| 1021 | -- | 1039 | Maxwell B. Stinchcombe. Precision and Approximate Flatness in Artificial Neural Networks |
| 1040 | -- | 1053 | Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson. Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes |
| 1054 | -- | 1078 | Wolfgang Maass 0001. Agnostic PAC Learning of Functions on Analog Neural Nets |
| 1079 | -- | 1104 | Ibrahim M. Elfadel. Convex Potentials and their Conjugates in Analog Mean-Field Optimization |
| 1105 | -- | 1127 | Eytan Ruppin, James A. Reggia. Patterns of functional damage in neural network models of associative memory |