Calculation of the learning curve of Bayes optimal classification algorithm for learning a perceptron with noise

On learning noisy threshold functions with finite precision weights

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

Flat minima

Neural Computation

Playing billiards in version space

Neural Computation

On PAC learning using Winnow, Perceptron, and a Perceptron-like algorithm

COLT '99 Proceedings of the twelfth annual conference on Computational learning theory

Some results concerning off-training-set and IID error for the Gibbs and the Bayes optimal generalizers

Statistics and Computing

Bounds on the Generalization Ability of Bayesian Inference and Gibbs Algorithms

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Results in statistical discriminant analysis: a review of the former Soviet union literature

Journal of Multivariate Analysis

An asymptotic statistical theory of polynomial kernel methods

Neural Computation

An asymptotic statistical analysis of support vector machines with soft margins

Neural Networks

A numerical study on learning curves in stochastic multilayer feedforward networks

Neural Computation

Generalization error analysis for polynomial kernel methods: algebraic geometrical approach

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

An analysis of Bayesian classifiers

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence