Intelligent signal analysis and recognition using a self-organizing database
IEA/AIE '88 Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Types of monotonic language learning and their characterization
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Language learning in dependence on the space of hypotheses
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Capabilities of fallible FINite learning
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
The representation of recursive languages and its impact on the efficiency of learning
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
On the intrinsic complexity of language identification
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Language learning from texts (extended abstract): mind changes, limited memory and monotonicity
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Probabilistic and team PFIN-type learning: general properties
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Synthesizing enumeration techniques for language learning
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Learnability of a subclass of extended pattern languages
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Aspects of complexity of conservative probabilistic learning
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
On the power of learning robustly
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Theoretical Computer Science
Aspects of complexity of probabilistic learning under monotonicity constraints
Theoretical Computer Science - Algorithmic learning theory
Generalization and specialization strategies for learning r.e. languages
Annals of Mathematics and Artificial Intelligence
Learning recursive languages from good examples
Annals of Mathematics and Artificial Intelligence
Minds and Machines
Learning classes of approximations to non-recursive functions
Theoretical Computer Science
Learning by the process of elimination
Information and Computation
ICALP '00 Proceedings of the 27th International Colloquium on Automata, Languages and Programming
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On the Uniform Learnability of Approximations to Non-Recursive Functions
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
On the Strength of Incremental Learning
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
A Probabilistic Identification Result
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Learning by Switching Type of Information
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
On the Learnability of Vector Spaces
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Classes with Easily Learnable Subclasses
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
Inferring a Rewriting System from Examples
DS '98 Proceedings of the First International Conference on Discovery Science
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
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Variants of iterative learning
Theoretical Computer Science
Advanced elementary formal systems
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
On learning of functions refutably
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
PAC learning of probability distributions over a discrete domain
Theoretical Computer Science
Learning by switching type of information
Information and Computation
Counting extensional differences in BC-learning
Information and Computation
Journal of Computer and System Sciences
Theoretical Computer Science - Special issue: Algorithmic learning theory
Classes with easily learnable subclasses
Information and Computation
Learning all subfunctions of a function
Information and Computation
Hypothesis formation and language acquisition with an infinitely-often correct teacher
TARK '90 Proceedings of the 3rd conference on Theoretical aspects of reasoning about knowledge
Robust learning: rich and poor
Journal of Computer and System Sciences
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
Mind change efficient learning
Information and Computation
Variations on U-shaped learning
Information and Computation
The Intrinsic Complexity of Learning: A Survey
Fundamenta Informaticae
On the learnability of vector spaces
Journal of Computer and System Sciences
Journal of Computer and System Sciences
From learning in the limit to stochastic finite learning
Theoretical Computer Science - Algorithmic learning theory
Optimal Unification of Infinite Sets of Types
Fundamenta Informaticae
On the data consumption benefits of accepting increased uncertainty
Theoretical Computer Science
Results on memory-limited U-shaped learning
Information and Computation
Learning multiple languages in groups
Theoretical Computer Science
Iterative learning from positive data and negative counterexamples
Information and Computation
Learning languages from positive data and a limited number of short counterexamples
Theoretical Computer Science
Information and Computation
Non-U-shaped vacillatory and team learning
Journal of Computer and System Sciences
Probabilistic and team PFIN-type learning: General properties
Journal of Computer and System Sciences
Journal of Computer and System Sciences
Learning indexed families of recursive languages from positive data: A survey
Theoretical Computer Science
Learning and extending sublanguages
Theoretical Computer Science
Learning recursive functions: A survey
Theoretical Computer Science
Reflective inductive inference of recursive functions
Theoretical Computer Science
Learning in Friedberg numberings
Information and Computation
Prescribed Learning of Indexed Families
Fundamenta Informaticae
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
Input-Dependence in Function-Learning
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
Prescribed Learning of R.E. Classes
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Learning in Friedberg Numberings
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
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Numberings Optimal for Learning
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
Consistent and coherent learning with δ-delay
Information and Computation
On some open problems in reflective inductive inference
Information Processing Letters
Prescribed learning of r.e. classes
Theoretical Computer Science
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
Mind change optimal learning of Bayes net structure from dependency and independency data
Information and Computation
Mind change efficient learning
Information and Computation
Learning languages from positive data and a finite number of queries
Information and Computation
Consistency conditions for inductive inference of recursive functions
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
Inferability of closed set systems from positive data
JSAI'06 Proceedings of the 20th annual conference on New frontiers in artificial intelligence
Costs of general purpose learning
STACS'99 Proceedings of the 16th annual conference on Theoretical aspects of computer science
Numberings optimal for learning
Journal of Computer and System Sciences
U-shaped, iterative, and iterative-with-counter learning
COLT'07 Proceedings of the 20th annual conference on Learning theory
On a question of Frank Stephan
TAMC'08 Proceedings of the 5th international conference on Theory and applications of models of computation
Iterative learning of simple external contextual languages
Theoretical Computer Science
Incremental learning with temporary memory
Theoretical Computer Science
Difficulties in forcing fairness of polynomial time inductive inference
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Uncountable automatic classes and learning
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Iterative learning from texts and counterexamples using additional information
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Splitting of learnable classes
ICGI'10 Proceedings of the 10th international colloquium conference on Grammatical inference: theoretical results and applications
Solutions to open questions for non-u-shaped learning with memory limitations
ALT'10 Proceedings of the 21st international conference on Algorithmic learning theory
Inductive inference of languages from samplings
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
Uncountable automatic classes and learning
Theoretical Computer Science
Automatic learning of subclasses of pattern languages
LATA'11 Proceedings of the 5th international conference on Language and automata theory and applications
Optimal language learning from positive data
Information and Computation
Automatic learners with feedback queries
CiE'11 Proceedings of the 7th conference on Models of computation in context: computability in Europe
Learning and extending sublanguages
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Learning multiple languages in groups
ALT'05 Proceedings of the 16th international conference on Algorithmic Learning Theory
Memory-limited u-shaped learning
COLT'06 Proceedings of the 19th annual conference on 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
Inductive inference and language learning
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Variations on u-shaped learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Mind change efficient learning
COLT'05 Proceedings of the 18th annual conference on Learning Theory
On a syntactic characterization of classification with a mind change bound
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Learning languages from positive data and a finite number of queries
FSTTCS'04 Proceedings of the 24th international conference on Foundations of Software Technology and Theoretical Computer Science
Learnability of automatic classes
LATA'10 Proceedings of the 4th international conference on Language and Automata Theory and Applications
String extension learning using lattices
LATA'10 Proceedings of the 4th international conference on Language and Automata Theory and Applications
Learning families of closed sets in matroids
WTCS'12 Proceedings of the 2012 international conference on Theoretical Computer Science: computation, physics and beyond
On the amount of nonconstructivity in learning formal languages from positive data
TAMC'12 Proceedings of the 9th Annual international conference on Theory and Applications of Models of Computation
Learning in the limit with lattice-structured hypothesis spaces
Theoretical Computer Science
Prescribed Learning of Indexed Families
Fundamenta Informaticae
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
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Confident and consistent partial learning of recursive functions
ALT'12 Proceedings of the 23rd international conference on Algorithmic Learning Theory
Automatic learners with feedback queries
Journal of Computer and System Sciences
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