Angluin's theorem for indexed families of r.e. sets and applications
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
Information and Computation
Generalization and specialization strategies for learning r.e. languages
Annals of Mathematics and Artificial Intelligence
On the power of incremental learning
Theoretical Computer Science
Intrinsic Complexity of Learning Geometrical Concepts from Positive Data
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Variants of iterative learning
Theoretical Computer Science
Intrinsic complexity of learning geometrical concepts from positive data
Journal of Computer and System Sciences
The Intrinsic Complexity of Learning: A Survey
Fundamenta Informaticae
On the data consumption benefits of accepting increased uncertainty
Theoretical Computer Science
Results on memory-limited U-shaped learning
Information and Computation
Some natural conditions on incremental learning
Information and Computation
Information and Computation
Non-U-shaped vacillatory and team learning
Journal of Computer and System Sciences
Learning indexed families of recursive languages from positive data: A survey
Theoretical Computer Science
U-shaped, iterative, and iterative-with-counter learning
Machine Learning
Resource Restricted Computability Theoretic Learning: Illustrative Topics and Problems
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
Learning with Temporary Memory
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Parallelism increases iterative learning power
Theoretical Computer Science
U-shaped, iterative, and iterative-with-counter learning
COLT'07 Proceedings of the 20th annual conference on Learning theory
Incremental learning with temporary memory
Theoretical Computer Science
Incremental learning with ordinal bounded example memory
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
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
Towards a better understanding of incremental learning
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Memory-limited u-shaped learning
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Learning with ordinal-bounded memory from positive data
Journal of Computer and System Sciences
Automatic functions, linear time and learning
CiE'12 Proceedings of the 8th Turing Centenary conference on Computability in Europe: how the world computes
The Intrinsic Complexity of Learning: A Survey
Fundamenta Informaticae
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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