Theory of recursive functions and effective computability
Theory of recursive functions and effective computability
An Introduction to the General Theory of Algorithms
An Introduction to the General Theory of Algorithms
Anomaly hierarchies of mechanized inductive inference
STOC '78 Proceedings of the tenth annual ACM symposium on Theory of computing
Hierarchies of identification criteria for mechanized inductive inference.
Hierarchies of identification criteria for mechanized inductive inference.
Probabilistic inductive inference
Journal of the ACM (JACM)
Breaking the probability ½ barrier in FIN-type learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
On the role of procrastination for machine learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Journal of the ACM (JACM)
On the structure of degrees of inferability
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
On learning multiple concepts in parallel
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Capabilities of probabilistic learners with bounded mind changes
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Co-learning of total recursive functions
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Choosing a learning team: a topological approach
STOC '94 Proceedings of the twenty-sixth annual ACM symposium on Theory of computing
Reductions for learning via queries
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
On the power of learning robustly
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Probabilistic inductive inference: a survey
Theoretical Computer Science
Hierarchies of probabilistic and team FIN -learning
Theoretical Computer Science
Closedness properties in ex-identification
Theoretical Computer Science - Algorithmic learning theory
Learning to win process-control games watching game-masters
Information and Computation
Classification using information
Annals of Mathematics and Artificial Intelligence
Avoiding coding tricks by hyperrobust learning
Theoretical Computer Science
Learning by the process of elimination
Information and Computation
Category, Measure, Inductive Inference: A Triality Theorem and Its Applications
LATIN '02 Proceedings of the 5th Latin American Symposium on Theoretical Informatics
Avoiding Coding Tricks by Hyperrobust Learning
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
Closedness Properties in EX-Identification of Recursive Functions
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Learning to Win Process-Control Games Watching Game-Masters
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Notes on Formalizing Coordination
AI*IA '99 Proceedings of the 6th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Counting extensional differences in BC-learning
Information and Computation
Learning via finitely many queries
Annals of Mathematics and Artificial Intelligence
Learning languages from positive data and a finite number of queries
Information and Computation
Capabilities of Thoughtful Machines
Fundamenta Informaticae
Iterative learning from positive data and negative counterexamples
Information and Computation
Non-U-shaped vacillatory and team learning
Journal of Computer and System Sciences
Journal of Computer and System Sciences
Taming teams with mind changes
Journal of Computer and System Sciences
Learning recursive functions: A survey
Theoretical Computer Science
Absolute versus probabilistic classification in a logical setting
Theoretical Computer Science
One-sided error probabilistic inductive inference and reliable frequency identification
Information and Computation
Learning languages from positive data and a finite number of queries
Information and Computation
Learning Behaviors of Functions
Fundamenta Informaticae
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Non U-shaped vacillatory and team learning
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Absolute versus probabilistic classification in a logical setting
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Some recent results in u-shaped learning
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Capabilities of Thoughtful Machines
Fundamenta Informaticae
Asking Questions versus Verifiability
Fundamenta Informaticae
Learning Via Queries With Teams And Anomalies
Fundamenta Informaticae
Learning Behaviors of Functions with Teams
Fundamenta Informaticae
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