Learning deterministic even linear languages from positive examples
Theoretical Computer Science - Special issue on algorithmic learning theory
Inductive Inference: Theory and Methods
ACM Computing Surveys (CSUR)
Introduction to the Theory of Computation
Introduction to the Theory of Computation
Introduction to Automata Theory, Languages and Computability
Introduction to Automata Theory, Languages and Computability
Learning a Subclass of Linear Languages from Positive Structural Information
ICGI '98 Proceedings of the 4th International Colloquium on Grammatical Inference
Learning linear grammars from structural information
ICG! '96 Proceedings of the 3rd International Colloquium on Grammatical Inference: Learning Syntax from Sentences
Constructing an even grammar from a 2-element sample
Proceedings of the 43rd annual Southeast regional conference - Volume 1
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Two skeleton based algorithms are presented for the grammatical inference problem. The first demonstrates the use of a new relation on internal skeleton nodes that focuses on decedent information. The second addresses those positive samples that contain repeated substrings.