Communications of the ACM
Why sometimes probabilistic algorithms can be more effective
Proceedings of the 12th symposium on Mathematical foundations of computer science 1986
Encyclopedia of artificial intelligence; vols. 1 and 2
Encyclopedia of artificial intelligence; vols. 1 and 2
Theory of recursive functions and effective computability
Theory of recursive functions and effective computability
Probability and plurality for aggregations of learning machines
Information and Computation
Probabilistic inductive inference
Journal of the ACM (JACM)
The Strength of Weak Learnability
Machine Learning
Proceedings of the third annual workshop on Computational learning theory
COLT90 3rd Annual Workshop on Computational Learning Theory
Inductive inference of minimal programs
COLT '90 Proceedings of the third annual workshop on Computational learning theory
Proceedings of the first annual workshop on Computational learning theory
COLT88 1988 Working on Computational Learning Theory
Some remarks about space-complexity of learning, and circuit complexity of recognizing
COLT '88 Proceedings of the first annual workshop on Computational learning theory
Proceedings of the second annual workshop on Computational learning theory
COLT'89 2nd Workshop on Computational Learning Theory
Learning nested differences of intersection-closed concept classes
COLT '89 Proceedings of the second annual workshop on Computational learning theory
Space-bounded learning and the Vapnik-Chervonenkis dimension
COLT '89 Proceedings of the second annual workshop on Computational learning theory
A preliminary analysis of the Soar architecture as a basis for general intelligence
Artificial Intelligence
Proceedings of the fourth annual workshop on Computational learning theory
COLT'91 4th Annual Workshop on Computational Learning Theory
Proceedings of the fifth annual workshop on Computational learning theory
COLT92 5th Annual Workshop on Computational Learning Theory
On the computational power of neural nets
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
On the impact of forgetting on learning machines
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On the role of procrastination in machine learning
Information and Computation
Vacillatory learning of nearly minimal size grammars
Journal of Computer and System Sciences
A Theory for Memory-Based Learning
Machine Learning - Special issue on computational learning theory, COLT'92
Trial and error: a new approach to space-bounded learning
Euro-COLT '93 Proceedings of the first European conference on Computational learning theory
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Introduction to Neural and Cognitive Modeling
Introduction to Neural and Cognitive Modeling
The Architecture of Cognition
Elements of the Theory of Computation
Elements of the Theory of Computation
An Introduction to the General Theory of Algorithms
An Introduction to the General Theory of Algorithms
Memory Limited Inductive Inference Machines
SWAT '92 Proceedings of the Third Scandinavian Workshop on Algorithm Theory
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Learning via finitely many queries
Annals of Mathematics and Artificial Intelligence
On learning to coordinate: random bits help, insightful normal forms, and competency isomorphisms
Journal of Computer and System Sciences - Special issue: Learning theory 2003
On the data consumption benefits of accepting increased uncertainty
Theoretical Computer Science
Results on memory-limited U-shaped learning
Information and Computation
Learning and extending sublanguages
Theoretical Computer Science
Quantum inductive inference by finite automata
Theoretical Computer Science
Solutions to open questions for non-u-shaped learning with memory limitations
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Automatic learning of subclasses of pattern languages
LATA'11 Proceedings of the 5th international conference on Language and automata theory and applications
Automatic learners with feedback queries
CiE'11 Proceedings of the 7th conference on Models of computation in context: computability in Europe
Iterative learning from positive data and counters
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Memory-limited u-shaped learning
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Learnability of automatic classes
LATA'10 Proceedings of the 4th international conference on Language and Automata Theory and Applications
Automatic functions, linear time and learning
CiE'12 Proceedings of the 8th Turing Centenary conference on Computability in Europe: how the world computes
Learnability of automatic classes
Journal of Computer and System Sciences
Automatic learning of subclasses of pattern languages
Information and Computation
Memory-limited non-U-shaped learning with solved open problems
Theoretical Computer Science
Iterative learning from positive data and counters
Theoretical Computer Science
Automatic learners with feedback queries
Journal of Computer and System Sciences
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