A Classifier with the Function-based Decision Tree

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "Been-Chian Chien and Jung-Yi Lin",
  title =        "A Classifier with the Function-based Decision Tree",
  booktitle =    "Proceedings of KES'2002 the Sixth International
                 Conference on Knowledge-Based Intelligent Information
                 Engineering Systems",
  year =         "2002",
  editor =       "E. Damiani and L. C. Jain and R. J. Howlett and 
                 N. Ichalkaranje",
  volume =       "82",
  series =       "Frontiers in Artificial Intelligence and
  pages =        "648--652",
  address =      "Podere d'Ombriano, Crema, Italy",
  publisher_address = "Amsterdam",
  month =        "19-19 " # sep,
  publisher =    "IOS Press",
  keywords =     "genetic algorithms, genetic programming,
                 classification, decision tree, Knowledge discovery,
                 Machine learning",
  ISBN =         "1-58603-280-1",
  URL =          "http://myweb.nutn.edu.tw/~bcchien/Papers/C_KES2002.pdf",
  size =         "5 pages",
  abstract =     "Classification is one of the important problems in the
                 research area of knowledge discovery and machine
                 learning. In this paper, an accurate classifier with
                 multi-category based on the genetic programming is
                 proposed. The classifier consists of the discriminant
                 functions that are generated by genetic programming. We
                 propose the function-based decision tree (FDT) to
                 resolve the problem of ambiguity between discriminant
                 functions, and the experiments show that the proposed
                 methods are accurate.",
  notes =        "Broken Dec 2012

Genetic Programming entries for Been-Chian Chien Mick Jung-Yi Lin