Evolving Multi-label Classification Rules with : A Preliminary Study

Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study by: José Ávila-Jiménez, Eva Gibaja, Sebastián Ventura
edited by: Emilio Corchado, Manuel Graña Romay, Alexandre Manhaes Savio

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In Hybrid Artificial Intelligence Systems, Vol. 6077 (2010), pp. 9-16. doi:10.1007/978-3-642-13803-4_2 Key: citeulike:8938709

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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.

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http://www.citeulike.org/group/4310/article/8938709

顶一下昨天没看到的没解决的。