Learning one-variable pattern languages in linear average time
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Annals of Mathematics and Artificial Intelligence
On the power of incremental learning
Theoretical Computer Science
SAGA '01 Proceedings of the International Symposium on Stochastic Algorithms: Foundations and Applications
On the Strength of Incremental Learning
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Learning Recursive Concepts with Anomalies
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
On Variants of Iterative Learning
DS '98 Proceedings of the First International Conference on Discovery Science
Variants of iterative learning
Theoretical Computer Science
Generalized notions of mind change complexity
Information and Computation
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
From learning in the limit to stochastic finite learning
Theoretical Computer Science - Algorithmic learning theory
Results on memory-limited U-shaped learning
Information and Computation
Some natural conditions on incremental learning
Information and Computation
Iterative learning from positive data and negative counterexamples
Information and Computation
Learning indexed families of recursive languages from positive data: A survey
Theoretical Computer Science
Learning recursive functions: 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
Parallelism Increases Iterative Learning Power
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Iterative Learning of Simple External Contextual Languages
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Learning with Temporary Memory
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Algorithms for learning regular expressions from positive data
Information and Computation
Parallelism increases iterative learning power
Theoretical Computer Science
Hypothesis Spaces for Learning
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
On some open problems in monotonic and conservative learning
Information Processing Letters
Consistency conditions for inductive inference of recursive functions
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
A complete and tight average-case analysis of learning monomials
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
U-shaped, iterative, and iterative-with-counter learning
COLT'07 Proceedings of the 20th annual conference on Learning theory
Iterative learning of simple external contextual languages
Theoretical Computer Science
Incremental learning with temporary memory
Theoretical Computer Science
Iterative learning from texts and counterexamples using additional information
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
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
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Hypothesis spaces for learning
Information and Computation
Teaching randomized learners with feedback
Information and Computation
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
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Erratum: learning without coding
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Iterative learning from positive data and negative counterexamples
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
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
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
Automatic learning of subclasses of pattern languages
Information and Computation
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
A novel local patch framework for fixing supervised learning models
Proceedings of the 21st ACM international conference on Information and knowledge management
Memory-limited non-U-shaped learning with solved open problems
Theoretical Computer Science
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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