Systems that learn: an introduction to learning theory for cognitive and computer scientists
Systems that learn: an introduction to learning theory for cognitive and computer scientists
Theory of recursive functions and effective computability
Theory of recursive functions and effective computability
International Workshop All '86 on Analogical and inductive inference
On the role of search for learning
COLT '89 Proceedings of the second annual workshop on Computational learning theory
The Power of Pluralism for Automatic Program Synthesis
Journal of the ACM (JACM)
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Algorithmic Learning for Knowledge-Based Systems, GOSLER Final Report
Transformations that Preserve Learnability
ALT '96 Proceedings of the 7th International Workshop on Algorithmic Learning Theory
Inductive Inference of Recursive Functions: Qualitative Theory
Baltic Computer Science, Selected Papers
Robust learning aided by context
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Avoiding coding tricks by hyperrobust learning
Theoretical Computer Science
Avoiding Coding Tricks by Hyperrobust Learning
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
On the Uniform Learnability of Approximations to Non-Recursive Functions
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Robust Learning - Rich and Poor
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
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