Communications of the ACM
A general lower bound on the number of examples needed for learning
Information and Computation
Crytographic limitations on learning Boolean formulae and finite automata
STOC '89 Proceedings of the twenty-first annual ACM symposium on Theory of computing
Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
What size net gives valid generalization?
Neural Computation
The perceptron algorithm is fast for nonmalicious distributions
Neural Computation
Learnability by fixed distributions
COLT '88 Proceedings of the first annual workshop on Computational learning theory
From on-line to batch learning
COLT '89 Proceedings of the second annual workshop on Computational learning theory
Instance-Based Learning Algorithms
Machine Learning
Results on learnability and the Vapnik-Chervonenkis dimension
Information and Computation
Investigating the distribution assumptions in the Pac learning model
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
The design and analysis of efficient learning algorithms
The design and analysis of efficient learning algorithms
Problems of computational and information complexity in machine vision and learning
Problems of computational and information complexity in machine vision and learning
Bounding sample size with the Vapnik-Chervonenkis dimension
Discrete Applied Mathematics
Efficient learning of continuous neural networks
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
ICALP '88 Proceedings of the 15th International Colloquium on Automata, Languages and Programming
Effective classification learning
Effective classification learning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Efficient exploration for optimizing immediate reward
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Budgeted learning of nailve-bayes classifiers
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Learning and classifying under hard budgets
ECML'05 Proceedings of the 16th European conference on Machine Learning
Massive online teaching to bounded learners
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
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