Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InCollection{Avila-Jimenez:2010:HAIS,

• author = "Jose Luis Avila-Jimenez and Eva Gibaja and Sebastian Ventura",
• title = "Evolving Multi-label Classification Rules with Gene Expression Programming: A Preliminary Study",
• booktitle = "Hybrid Artificial Intelligence Systems",
• year = "2010",
• series = "Lecture Notes in Computer Science",
• editor = "Emilio Corchado and Manuel {Grana Romay} and Alexandre {Manhaes Savio}",
• publisher = "Springer",
• pages = "9--16",
• volume = "6077",
• address = "San Sebastian, Spain",
• month = jun # " 23-25",
• DOI = "doi:10.1007/978-3-642-13803-4_2",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• 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.",
• affiliation = "University of Cordoba Department of Computer Sciences and Numerical Analysis",

}

Genetic Programming entries for Jose Luis Avila-Jimenez Eva L Gibaja Sebastian Ventura

Citations