A Gene Expression Programming Algorithm for Multi-Label Classification.
José Luis Ávila-Jiménez, Eva Gibaja, Amelia Zafra, Sebastián Ventura · Universidad de Córdoba Insitutional Repository (Universidad de Córdoba) · 2011
This paper presents a Gene Expression Programming algorithm for multilabel 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 datasets demonstrate the feasibility of this approach in the tackling of multi-label problems.