A Novel Genetic Programming Based Approach for Classification Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  title =        "A Novel Genetic Programming Based Approach for
                 Classification Problems",
  author =       "Luigi P. Cordella and Claudio {De Stefano} and 
                 Francesco Fontanella and Angelo Marcelli",
  year =         "2005",
  pages =        "727--734",
  editor =       "Fabio Roli and Sergio Vitulano",
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3617",
  booktitle =    "Proceedings 13th International Conference Image
                 Analysis and Processing - ICIAP 2005",
  address =      "Cagliari, Italy",
  month =        sep # " 6-8",
  bibdate =      "2006-02-09",
  bibsource =    "DBLP,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-28869-4",
  DOI =          "doi:10.1007/11553595_89",
  size =         "8 pages",
  abstract =     "A new genetic programming based approach to
                 classification problems is proposed. Differently from
                 other approaches, the number of prototypes in the
                 classifier is not a priori fixed, but automatically
                 found by the system. In fact, in many problems a single
                 class may contain a variable number of subclasses.
                 Hence, a single prototype, may be inadequate to
                 represent all the members of the class. The devised
                 approach has been tested on several problems and the
                 results compared with those obtained by a different
                 genetic programming based approach recently proposed in
                 the literature.",

Genetic Programming entries for Luigi Pietro Cordella Claudio De Stefano Francesco R Fontanella Angelo Marcelli