Inductive inference of unbounded unions of pattern languages from positive data
Theoretical Computer Science - Special issue on algorithmic learning theory
Varieties Of Formal Languages
Finding patterns common to a set of strings (Extended Abstract)
STOC '79 Proceedings of the eleventh annual ACM symposium on Theory of computing
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The class of unbounded unions of regular pattern languages with bounded constant segments is identifiable from positive data in the limit [1]. Otherwise, no efficient algorithm that performs the inference of this class of languages is known. We propose a solution to this problem using the existing connexion between the positive variety of languages of dot depth 1/2, ${\mathcal LJ}^+$ [2] and the class of unbounded union of pattern languages ${\mathcal RP}^+{\mathcal L}$.