Machine learning: a theoretical approach
Machine learning: a theoretical approach
The minimum consistent DFA problem cannot be approximated within any polynomial
Journal of the ACM (JACM)
An introduction to computational learning theory
An introduction to computational learning theory
Recent advances of grammatical inference
Theoretical Computer Science - Special issue on algorithmic learning theory
Efficient learning of regular expressions from approximate examples
Computational learning theory and natural learning systems: Volume IV
Learnable classes of categorial grammars
Learnable classes of categorial grammars
Inference of Reversible Languages
Journal of the ACM (JACM)
Machine Learning
Machine Learning
Proceedings of the Second International Colloquium on Grammatical Inference and Applications
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Proceedings of the 4th International Colloquium on Grammatical Inference
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
ICGI '00 Proceedings of the 5th International Colloquium on Grammatical Inference: Algorithms and Applications
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
Pattern Discovery in Biosequences
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
The EMILE 4.1 Grammar Induction Toolbox
ICGI '02 Proceedings of the 6th International Colloquium on Grammatical Inference: Algorithms and Applications
Inductive Inference, DFAs, and Computational Complexity
AII '89 Proceedings of the International Workshop on Analogical and Inductive Inference
Efficient Learning of Regular Expressions from Good Examples
AII '94 Proceedings of the 4th International Workshop on Analogical and Inductive Inference: Algorithmic Learning Theory
A study of grammatical inference
A study of grammatical inference
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Grammatical Inference: Algorithms and Applications: 8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings (Lecture Notes in Computer Science)
Unifying Computing and Cognition
Unifying Computing and Cognition
Grammatical Inference: Algorithms and Applications 9th International Colloquium, ICGI 2008 Saint-Malo, France, September 22-24, 2008 Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence)
A bibliographical study of grammatical inference
Pattern Recognition
How evolutionary algorithms are applied to statistical natural language processing
Artificial Intelligence Review
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When dealing with language, (machine) learning can take many different faces, of which the most important are those concerned with learning languages and grammars from data. Questions in this context have been at the intersection of the fields of inductive inference and computational linguistics for the past fifty years. To go back to the pioneering work, Chomsky (1955; 1957) and Solomonoff (1960; 1964) were interested, for very different reasons, in systems or programs that could deduce a language when presented information about it.