Publications (3)0 Total impact
- Multiple-Valued Logic and Soft Computing. 01/2011; 17:183-206.
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ABSTRACT: The present work expounds a preliminary work of a genetic programming algorithm to deal with multi-label classification problems. The algorithm uses Gene Expression Programming and codifies a classification rule into each individual. A niching technique assures diversity in the population. The final classifier is made up by a set of rules for each label that determines if a pattern belongs or not to the label. The proposal have been tested over several domains and compared with other multi-label algorithms and the results shows that it is specially suitable to handle with nominal data sets.Hybrid Artificial Intelligence Systems, 5th International Conference, HAIS 2010, San Sebastián, Spain, June 23-25, 2010. Proceedings, Part II; 01/2010
Conference Proceeding: A Niching Algorithm to Learn Discriminant Functions with Multi-Label Patterns.Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings; 01/2009
Universidad Católica de CórdobaCórdoba, Córdoba, Argentina