Finding feature transformation functions using genetic algorithm

Abstract

Identifying a good set of features is critical to the performance of learning algorithms such as classifiers. Previous methods have focused on either selecting a subset of features or transforming features using principle components analysis. In this paper, we propose a genetic algorithm approach that searches for a good feature transformation function over… (More)
DOI: 10.1145/1830761.1830862

3 Figures and Tables

Topics

  • Presentations referencing similar topics