A Learning Criterion for Stochastic Rules
Machine Learning - Computational learning theory
An introduction to Kolmogorov complexity and its applications
An introduction to Kolmogorov complexity and its applications
A loss bound model for on-line stochastic prediction algorithms
Information and Computation
Probably Almost Discriminative Learning
Machine Learning
A comparison of new and old algorithms for a mixture estimation problem
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Fisher information and stochastic complexity
IEEE Transactions on Information Theory
A decision-theoretic extension of stochastic complexity and its applications to learning
IEEE Transactions on Information Theory
Distributed cooperative Bayesian learning strategies
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Document classification using a finite mixture model
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
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