Communications of the ACM
Linear function neurons: Structure and training
Biological Cybernetics
Computational limitations on learning from examples
Journal of the ACM (JACM)
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Investigating the distribution assumptions in the Pac learning model
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Circuit complexity and neural networks
Circuit complexity and neural networks
On the Size of Weights for Threshold Gates
SIAM Journal on Discrete Mathematics
How fast can a threshold gate learn?
Proceedings of a workshop on Computational learning theory and natural learning systems (vol. 1) : constraints and prospects: constraints and prospects
On specifying Boolean functions by labelled examples
Discrete Applied Mathematics
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Machine Learning
Machine Learning
A polynomial-time algorithm for learning noisy linear threshold functions
FOCS '96 Proceedings of the 37th Annual Symposium on Foundations of Computer Science
On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
PAC Analogues of Perceptron and Winnow Via Boosting the Margin
Machine Learning
Estimates of average complexity of neurocontrol algorithms
Neural Networks
Journal of Computer and System Sciences - STOC 2001
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