CLASSIC'CL: an integrated ILP system

  • Authors:
  • Christian Stolle;Andreas Karwath;Luc De Raedt

  • Affiliations:
  • Institut für Informatik, Albert-Ludwigs Universität Freiburg, Freiburg, Germany;Institut für Informatik, Albert-Ludwigs Universität Freiburg, Freiburg, Germany;Institut für Informatik, Albert-Ludwigs Universität Freiburg, Freiburg, Germany

  • Venue:
  • DS'05 Proceedings of the 8th international conference on Discovery Science
  • Year:
  • 2005

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Abstract

A novel inductive logic programming system, called Classic'cl is presented. Classic'cl integrates several settings for learning, in particular learning from interpretations and learning from satisfiability. Within these settings, it addresses descriptive and probabilistic modeling tasks. As such, Classic'cl (C-armr, cLAudien, icl-S(S)at, ICl, and CLlpad) integrates several well-known inductive logic programming systems such as Claudien, Warmr (and its extension C-armr), ICL, ICL-SAT, and LLPAD. We report on the implementation, the integration issues as well as on some experiments that compare Classic'cl with some of its predecessors.