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Unifying learning methods by colored digraphs

  • Kenichi Yoshida
  • Hiroshi Motoda
  • Nitin Indurkhya
Selected Papers Explanation-Based Learning
Part of the Lecture Notes in Computer Science book series (LNCS, volume 744)

Abstract

We describe a graph-based induction algorithm that extracts typical patterns from colored digraphs. The method is shown to be capable of solving a variety of learning problems by mapping the different learning problems into colored digraphs. The generality and scope of this method can be attributed to the expressiveness of the colored digraph representation which allows a number of different learning problems to be solved by a single algorithm. We demonstrate the application of our method to two seemingly different learning tasks: inductive learning of classification rules, and learning macro rules for speeding up inference. We also show that the uniform treatment of the above two learning tasks enables our method to solve complex learning problems such as the construction of hierarchical knowledge bases.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Kenichi Yoshida
    • 1
  • Hiroshi Motoda
    • 1
  • Nitin Indurkhya
    • 1
  1. 1.Advanced Research LaboratoryHitachi, LtdSaitamaJapan

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