On Learning Regular Expressions and Patterns Via Membership and Correction Queries

  • Authors:
  • Efim Kinber

  • Affiliations:
  • Department of Computer Science, Sacred Heart University, Fairfield, U.S.A. CT 06825-1000

  • Venue:
  • ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
  • Year:
  • 2008

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Abstract

Based on the ideas suggested in [5], the following model for learning from a variant of correctionqueries to an oracle is proposed: being asked a membership query, the oracle, in the case of negative answer, returns also a correction--- a positive datum (that has not been seen in the learning process yet) with the smallest edit distance from the queried string. Polynomial-time algorithms for learning a class of regular expressions from one such query and membership queries and learning pattern languages from queries of this type are proposed and discussed.