Rule-based Machine Learning Methods for Functional Prediction

  title={Rule-based Machine Learning Methods for Functional Prediction},
  author={Sholom M. Weiss and Nitin Indurkhya},
  journal={J. Artif. Intell. Res.},
We describe a machine learning method for predicting the value of a real-valued function, given the values of multiple input variables. The method induces solutions from samples in the form of ordered disjunctive normal form (DNF) decision rules. A central objective of the method and representation is the induction of compact, easily interpretable solutions. This rule-based decision model can be extended to search e ciently for similar cases prior to approximating function values. Experimental… CONTINUE READING
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