Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Rigorous learning curve bounds from statistical mechanics
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Linear widths of function spaces equipped with the Gaussian measure
Journal of Approximation Theory
Approximation and Estimation Bounds for Artificial Neural Networks
Machine Learning - Special issue 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
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Neural networks for optimal approximation of smooth and analytic functions
Neural Computation
Concept learning using complexity regularization
IEEE Transactions on Information Theory
On learning multicategory classification with sample queries
Information and Computation
Evaluating learning algorithms and classifiers
International Journal of Intelligent Information and Database Systems
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