A combination of Genetic Programming and Cluster Analysis for Single Class

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{To:2006:ASPGP,
  title =        "A combination of Genetic Programming and Cluster
                 Analysis for Single Class",
  author =       "Cuong To and Jiri Vohradsky",
  booktitle =    "Proceedings of the Third Asian-Pacific workshop on
                 Genetic Programming",
  year =         "2006",
  editor =       "The Long Pham and Hai Khoi Le and Xuan Hoai Nguyen",
  pages =        "13--23",
  ISSN =         "18590209",
  address =      "Military Technical Academy, Hanoi, VietNam",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/aspgp06/To_Vohradsky_ASPGP06_finalcopy.pdf",
  size =         "11 pages",
  abstract =     "algorithm for single class based on genetic
                 programming (GP) is introduced. Single class problem is
                 converted into symbolic regression, and then genetic
                 programming is used to search a polynomial function
                 which approximates symbolic regression problem. Four
                 real databases (one transcriptomics, one proteomics,
                 and two breast cancers) were used to test the algorithm
                 and a comparison with six well-known algorithms was
                 done. The results prove that the algorithm is a rather
                 good one.",
  notes =        "http://www.aspgp.org",
}

Genetic Programming entries for Cuong Chieu To Jiri Vohradsky

Citations