One-Class Learning with Multi-Objective Genetic Programming

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

@InProceedings{Curry:2007:SMCb,
  author =       "R. Curry and M. I. Heywood",
  title =        "One-Class Learning with Multi-Objective Genetic
                 Programming",
  booktitle =    "Proceedings of the IEEE International Conference on
                 Systems, Man, and Cybernetics",
  year =         "2007",
  pages =        "1938--1945",
  address =      "Montreal",
  month =        "7-10 " # oct,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, evolutionary
                 multi-criteria optimisation, one-class learning",
  ISBN =         "1-4244-0991-8",
  URL =          "http://users.cs.dal.ca/~mheywood/X-files/GradPubs.html#curry",
  abstract =     "One-class classification naturally only provides one
                 class of exemplars on which to construct the
                 classification model. In this work, multi-objective
                 genetic programming (GP) allows the one-class learning
                 problem to be decomposed by multiple GP classifiers,
                 each attempting to identify only a subset of the target
                 data to classify. In order for GP to identify
                 appropriate subsets of the one-class data, artificial
                 outclass data is generated in and around the provided
                 inclass data. A local Gaussian wrapper is employed
                 where this reinforces a novelty detection as opposed to
                 a discrimination approach to classification.
                 Furthermore, a hierarchical subset selection strategy
                 is used to deal with the necessarily large number of
                 generated outclass exemplars. The proposed approach is
                 demonstrated on three one-class classification datasets
                 and was found to be competitive with a one-class SVM
                 classifier and a binary SVM classifier.",
  notes =        "http://www.smc2007.org/program.html

                 rcurry_SMC07.pdf is twenty pages",
  URL =          "http://users.cs.dal.ca/~mheywood/X-files/Publications/rcurry_SMC07.pdf",
}

Genetic Programming entries for Robert Curry Malcolm Heywood

Citations