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

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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