A general lower bound on the number of examples needed for learning
Information and Computation
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
What size net gives valid generalization?
Neural Computation
Almost tight bounds for &egr;-nets
Discrete & Computational Geometry
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Sample sizes for threshold networks with equivalences
Information and Computation
On the complexity of learning on neural nets
Euro-COLT '93 Proceedings of the first European conference on Computational learning theory
Polynomial bounds for VC dimension of sigmoidal neural networks
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Function Estimation by Feedforward Sigmoidal Networks with BoundedWeights
Neural Processing Letters
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