A statistical approach to learning and generalization in layered neural networks

On learning noisy threshold functions with finite precision weights

COLT '92 Proceedings of the fifth annual workshop on Computational learning theory

Rigorous learning curve bounds from statistical mechanics

COLT '94 Proceedings of the seventh annual conference on Computational learning theory

Learning curves for error minimum and maximum likelihood algorithms

Neural Computation

Duality between learning machines: A bridge between supervised and unsupervised learning

Neural Computation

Asymptotic analysis of Bayesian generalization error with Newton diagram

Neural Networks