Abstract
A method of learning pattern languages in time polynomial in the length of the pattern is introduced. The learning of certain picture languages can then be done by considering them as an interpretation of pattern languages. The learning of Tabled Regular k-Matrix languages describing arrays of symbols is also examined.
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More From: International Journal of Pattern Recognition and Artificial Intelligence
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