More theorems about scale-sensitive dimensions and learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
A Bayesian/Information Theoretic Model of Learning to Learn viaMultiple Task Sampling
Machine Learning - Special issue on inductive transfer
A PAC analysis of a Bayesian estimator
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Cross-validation for binary classification by real-valued functions: theoretical analysis
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Enlarging the Margins in Perceptron Decision Trees
Machine Learning
Probabilistic ’generalization‘ of functions and dimension-based uniform convergence results
Statistics and Computing
Vapnik-chervonenkis generalization bounds for real valued neural networks
Neural Computation
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