A Gene Expression Programming Algorithm for Multi-Label Classification
J.L. Avila, E.L. Gibaja, A. Zafra and S. Ventura
This paper presents a Gene Expression Programming algorithm for multi-label classification which encodes a discriminant function into each individual to show 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. The algorithm has been compared to other recently published algorithms. The results found on several data-sets demonstrate the feasibility of this approach in the tackling of multi-label problems.
Keywords: Multi-label classification, discriminant functions, gene expression programming, machine learning