An integration of rule induction and exemplar-based learning for graded concepts

Abstract

This paper presents a method for learninggraded concepts. Our method uses a hybrid concept representation that integrates numeric weights and thresholds with rules and combines rules with exemplars. Concepts are learned by constructing general descriptions to represent common cases. These general descriptions are in the form of decision rules with weights… (More)
DOI: 10.1007/BF00993592

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