An experimental and theoretical comparison of model selection methods

Overfitting and undercomputing in machine learning

ACM Computing Surveys (CSUR)

PAC-like upper bounds for the sample complexity of leave-one-out cross-validation

COLT '96 Proceedings of the ninth annual conference on Computational learning theory

Towards robust model selection using estimation and approximation error bounds

COLT '96 Proceedings of the ninth annual conference on Computational learning theory

A bound on the error of cross validation using the approximation and estimation rates, with consequences for the training-test split

Neural Computation

Algorithmic stability and sanity-check bounds for leave-one-out cross-validation

COLT '97 Proceedings of the tenth annual conference on Computational learning theory

Some PAC-Bayesian theorems

COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory

PAC-Bayesian model averaging

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

Algorithmic stability and sanity-check bounds for leave-one-out cross-validation

Neural Computation

Some PAC-Bayesian Theorems

Machine Learning - The Eleventh Annual Conference on computational Learning Theory

Model Selection and Error Estimation

Machine Learning

PAC-Bayesian Stochastic Model Selection

Machine Learning

Comparison of relevance learning vector quantization with other metric adaptive classification methods

Neural Networks

A numerical study on learning curves in stochastic multilayer feedforward networks

Neural Computation

A new metric-based approach to model selection

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models

Signal Processing