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Summary

  • ILP is a subfield of machine learning which uses logic programming as a uniform representation for
    • Examples
    • Background knowledge
    • Hypotheses
  • Many existing ILP systems
    • Given an encoding of the known background knowledge and a set of examples represented as a logical database of facts, an ILP system will derive a hypothesised logic program which entails all the positive and none of the negative examples
  • Lots of applications of ILP
    • E.g. bioinformatics, natural language processing, engineering
  • IPL is an active research filed

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