Boosting technique for Combining Cellular GP Classifiers

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

@InProceedings{folino:2004:eurogp,
  author =       "Gianluigi Folino and Clara Pizzuti and 
                 Giandomenico Spezzano",
  title =        "Boosting technique for Combining Cellular GP
                 Classifiers",
  booktitle =    "Genetic Programming 7th European Conference, EuroGP
                 2004, Proceedings",
  year =         "2004",
  editor =       "Maarten Keijzer and Una-May O'Reilly and 
                 Simon M. Lucas and Ernesto Costa and Terence Soule",
  volume =       "3003",
  series =       "LNCS",
  pages =        "47--56",
  address =      "Coimbra, Portugal",
  publisher_address = "Berlin",
  month =        "5-7 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-21346-5",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=3003&spage=47",
  DOI =          "doi:10.1007/978-3-540-24650-3_5",
  abstract =     "An extension of Cellular Genetic Programming for data
                 classification with the boosting technique is presented
                 and a comparison with the bagging-like majority voting
                 approach is performed. The method is able to deal with
                 large data sets that do not fit in main memory since
                 each classifier is trained on a subset of the overall
                 training data. Experiments showed that, by using a
                 sample of reasonable size, the extension with these
                 voting algorithms enhances classification accuracy at a
                 much lower computational cost.",
  notes =        "Part of \cite{keijzer:2004:GP} EuroGP'2004 held in
                 conjunction with EvoCOP2004 and EvoWorkshops2004",
}

Genetic Programming entries for Gianluigi Folino Clara Pizzuti Giandomenico Spezzano

Citations