JAIR article

[minton@ISI.EDU]

Readers of this mailing list may be interested in the following JAIR
article, which was just published:

Weiss, S.M. and Indurkhya, N. (1995)
  "Rule-based Machine Learning Methods for Functional Prediction", 
   Volume 3, pages 383-403.
   PostScript: volume3/weiss95a.ps (527K)
	       compressed, volume3/weiss95a.ps.Z (166K)


   Abstract: 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 efficiently for similar cases prior to
   approximating function values. Experimental results on real-world data
   demonstrate that the new techniques are competitive with existing
   machine learning and statistical methods and can sometimes yield
   superior regression performance.

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