Learning Multi-class Theories in ILP

@inproceedings{Abudawood2010LearningMT,
  title={Learning Multi-class Theories in ILP},
  author={Tarek Abudawood and Peter A. Flach},
  booktitle={ILP},
  year={2010}
}
In this paper we investigate the lack of reliability and consistency of those binary rule learners in ILP that employ the one-vs-rest binarisation technique when dealing with multi-class domains. We show that we can learn a simple, consistent and reliable multi-class theory by combining the rules of the multiple one-vs-rest theories into one rule list or set. We experimentally show that our proposed methods produce coherent and accurate rule models from the rules learned by Aleph. 

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The Aleph Manual

  • A. Srinivasan
  • Technical report, University of Oxford
  • 2001
Highly Influential
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