Multi-objective learning of accurate and comprehensible classifiers - A case study

Abstract

Accuracy and comprehensibility are two important classifier properties, however they are typically conflicting. Research in the past years has shown that Pareto-based multi-objective approach for solving this problem is preferred to the traditional single-objective approach. Multi-objective learning can be represented as search that starts either from an… (More)
DOI: 10.3233/978-1-61499-421-3-220

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