Time series: theory and methods
Time series: theory and methods
Decision theoretic generalizations of the PAC model for neural net and other learning applications
Information and Computation
Estimation of Dependences Based on Empirical Data: Springer Series in Statistics (Springer Series in Statistics)
Concept learning using complexity regularization
IEEE Transactions on Information Theory
Memory-universal prediction of stationary random processes
IEEE Transactions on Information Theory
Error bounds for functional approximation and estimation using mixtures of experts
IEEE Transactions on Information Theory
Extension of the PAC framework to finite and countable Markov chains
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Model Selection and Error Estimation
Machine Learning
Learning with side information: PAC learning bounds
Journal of Computer and System Sciences
Automatica (Journal of IFAC)
Brief Finite sample properties of system identification of ARX models under mixing conditions
Automatica (Journal of IFAC)
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