The knowledge complexity of interactive proof-systems
STOC '85 Proceedings of the seventeenth annual ACM symposium on Theory of computing
STOC '87 Proceedings of the nineteenth annual ACM symposium on Theory of computing
Learning Nested Differences of Intersection-Closed Concept Classes
Machine Learning
The Strength of Weak Learnability
Machine Learning
Identifying μ-formula decision trees with queries
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Testing geometric objects
Teachability in computational learning
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Polynomial-time inference of arbitrary pattern languages
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
COLT '91 Proceedings of the fourth annual workshop on Computational learning theory
On exact specification by examples
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
A computational model of teaching
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Approximate testing and learnability
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Lower Bound Methods and Separation Results for On-Line Learning Models
Machine Learning - Computational learning theory
Learning Conjunctions of Horn Clauses
Machine Learning - Computational learning theory
On the power of inductive inference from good examples
Theoretical Computer Science
Learning binary relations and total orders
SIAM Journal on Computing
Machine Learning
Machine Learning
Machine Learning
On space-bounded learning and the vapnik-chervonenkis dimension
On space-bounded learning and the vapnik-chervonenkis dimension
Geometrical concept learning and convex polytopes
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Reducing the number of queries in self-directed learning
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Being taught can be faster than asking questions
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
DNF—if you can't learn'em, teach'em: an interactive model of teaching
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Teachers, learners and black boxes
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Learning recursive languages from good examples
Annals of Mathematics and Artificial Intelligence
Learning DFA from Simple Examples
Machine Learning
Computer Vision and Image Understanding
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