Weiss, S.M. and Indurkhya, N. (1995)
"Rule-based Machine Learning Methods for Functional Prediction",
Volume 3, pages 383-403.
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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