Learning one-variable pattern languages in linear average time
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Theoretical Computer Science
Predictive learning models for concept drift
Theoretical Computer Science - Algorithmic learning theory
Annals of Mathematics and Artificial Intelligence
Stochastic Finite Learning of the Pattern Languages
Machine Learning
Synthesizing Learners Tolerating Computable Noisy Data
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Finding a One-Variable Pattern from Incomplete Data
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
The VC-Dimension of Subclasses of Pattern
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Learning Erasing Pattern Languages with Queries
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
Ordered Term Tree Languages which Are Polynomial Time Inductively Inferable from Positive Data
ALT '02 Proceedings of the 13th International Conference on Algorithmic Learning Theory
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Variants of iterative learning
Theoretical Computer Science
Decision lists over regular patterns
Theoretical Computer Science - Selected papers in honour of Setsuo Arikawa
Ordered term tree languages which are polynomial time inductively inferable from positive data
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
A non-learnable class of E-pattern languages
Theoretical Computer Science - Algorithmic learning theory(ALT 2002)
Learning erasing pattern languages with queries
Theoretical Computer Science - Algorithmic learning theory (ALT 2000)
From learning in the limit to stochastic finite learning
Theoretical Computer Science - Algorithmic learning theory
Learning a subclass of regular patterns in polynomial time
Theoretical Computer Science - Algorithmic learning theory
Discontinuities in pattern inference
Theoretical Computer Science
U-shaped, iterative, and iterative-with-counter learning
Machine Learning
Parallelism Increases Iterative Learning Power
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
On Learning Regular Expressions and Patterns Via Membership and Correction Queries
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
Parallelism increases iterative learning power
Theoretical Computer Science
Learning from positive data based on the MINL strategy with refinement operators
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
Regular patterns, regular languages and context-free languages
Information Processing Letters
Inductive inference and language learning
TAMC'06 Proceedings of the Third international conference on Theory and Applications of Models of Computation
Learning twig and path queries
Proceedings of the 15th International Conference on Database Theory
Learning regular expressions to template-based FAQ retrieval systems
Knowledge-Based Systems
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