CLASSIC'CL: An Integrated ILP System

نویسندگان

  • Christian Stolle
  • Andreas Karwath
  • Luc De Raedt
چکیده

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 predictive, 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 CLLPAD. We report on the implementation, the integration issues as well as on some experiments that compare Classic’cl with

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تاریخ انتشار 2005