Results on learnability and the Vapnik-Chervonenkis dimension
Information and Computation
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
A framework for structural risk minimisation
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A PAC analysis of a Bayesian estimator
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Concept learning using complexity regularization
IEEE Transactions on Information Theory
Self bounding learning algorithms
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Theoretical analysis of a class of randomized regularization methods
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Microchoice bounds and self bounding learning algorithms
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
PAC-Bayesian Stochastic Model Selection
Machine Learning
Query by committee, linear separation and random walks
Theoretical Computer Science
Query by Committee, Linear Separation and Random Walks
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
The Journal of Machine Learning Research
Introduction to the special issue on learning theory
The Journal of Machine Learning Research
Concentration inequalities for the missing mass and for histogram rule error
The Journal of Machine Learning Research
Combining PAC-Bayesian and Generic Chaining Bounds
The Journal of Machine Learning Research
PAC-Bayesian Analysis of Co-clustering and Beyond
The Journal of Machine Learning Research
Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models
International Journal of Computer Vision
Automatica (Journal of IFAC)
The Journal of Machine Learning Research
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