Learning Nested Differences of Intersection-Closed Concept Classes
Machine Learning
Additive versus exponentiated gradient updates for linear prediction
STOC '95 Proceedings of the twenty-seventh annual ACM symposium on Theory of computing
Generalized teaching dimensions and the query complexity of learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
How many queries are needed to learn?
Journal of the ACM (JACM)
Machine Learning - Special issue on context sensitivity and concept drift
Machine Learning
A neuroidal architecture for cognitive computation
Journal of the ACM (JACM)
Concept Formation and Knowledge Revision
Concept Formation and Knowledge Revision
Theory Revision with Queries: DNF Formulas
Machine Learning
Machine Learning
On-line Algorithms in Machine Learning
Developments from a June 1996 seminar on Online algorithms: the state of the art
Tracking linear-threshold concepts with Winnow
The Journal of Machine Learning Research
Theoretical Computer Science - Special issue: Algorithmic learning theory
Theory revision with queries: horn, read-once, and parity formulas
Artificial Intelligence
Learnability and Automatizability
FOCS '04 Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science
Theoretical Computer Science
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Combinatorial and learnability results are proven for projective disjunctive normal forms, a class of DNF expressions introduced by Valiant.