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Algorithms for Learning Function Distinguishable Regular Languages

  • Henning Fernau
  • Agnes Radl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2396)

Abstract

Function distinguishable languages were introduced as a new methodology of defining characterizable subclasses of the regular languages which are learnable from text. Here, we give details on the implementation and the analysis of the corresponding learning algorithms. We also discuss problems which might occur in practical applications.

Keywords

Distinguishing Function Regular Language Inference Algorithm Language Family Tree Automaton 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Henning Fernau
    • 1
  • Agnes Radl
    • 2
  1. 1.School of Electrical Engineering and Computer ScienceUniversity of NewcastleCallaghanAustralia
  2. 2.Wilhelm-Schickard-Institut für InformatikUniversität TübingenTübingenGermany

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