Multi-label Classification with Gene Expression Programming

Authors:
J. L. Ávila;E. L. Gibaja;S. Ventura
Affiliations:
Department of Computer Science and Numerical Analysis, University of Córdoba,;Department of Computer Science and Numerical Analysis, University of Córdoba,;Department of Computer Science and Numerical Analysis, University of Córdoba,
Venue:
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Year:
2009

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Abstract

In this paper, we introduce a Gene Expression Programming algorithm for multi label classification. This algorithm encodes each individual into a discriminant function that shows whether a pattern belongs to a given class or not. The algorithm also applies a niching technique to guarantee that the population includes functions for each existing class. In order to evaluate the quality of our algorithm, its performance is compared to that of four recently published algorithms. The results show that our proposal is the best in terms of accuracy, precision and recall.