Communications of the ACM
A general lower bound on the number of examples needed for learning
Information and Computation
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
Mistake bounds and logarithmic linear-threshold learning algorithms
Mistake bounds and logarithmic linear-threshold learning algorithms
On the sample complexity of pac-learning using random and chosen examples
COLT '90 Proceedings of the third annual workshop on Computational learning theory
COLT '90 Proceedings of the third annual workshop on Computational learning theory
When won't membership queries help?
STOC '91 Proceedings of the twenty-third annual ACM symposium on Theory of computing
On-line learning with an oblivious environment and the power of randomization
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
Learnability with respect to fixed distributions
Theoretical Computer Science
Lower Bound Methods and Separation Results for On-Line Learning Models
Machine Learning - Computational learning theory
Universal forecasting algorithms
Information and Computation
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Asking questions to minimize errors
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Lower bounds for PAC learning with queries
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the complexity of function learning
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Active Learning Using Arbitrary Binary Valued Queries
Machine Learning
On-line prediction and conversion strategies
Euro-COLT '93 Proceedings of the first European conference on Computational learning theory
Machine Learning
Machine Learning
PREDICTING {0,1}-FUNCTIONS ON RANDOMLY DRAWN POINTS
PREDICTING {0,1}-FUNCTIONS ON RANDOMLY DRAWN POINTS
THE WEIGHTED MAJORITY ALGORITHM (Supersedes 89-16)
THE WEIGHTED MAJORITY ALGORITHM (Supersedes 89-16)
Learning with queries but incomplete information (extended abstract)
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Fat-shattering and the learnability of real-valued functions
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Generalized teaching dimensions and the query complexity of learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Malicious Omissions and Errors in Answers to Membership Queries
Machine Learning
Derandomizing Stochastic Prediction Strategies
Machine Learning - Special issue: computational learning theory, COLT '97
On-line learning with malicious noise and the closure algorithm
Annals of Mathematics and Artificial Intelligence
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