Genetic Programming for Combining Classifiers

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  title =        "Genetic Programming for Combining Classifiers",
  author =       "W. B. Langdon and B. F. Buxton",
  pages =        "66--73",
  year =         "2001",
  publisher =    "Morgan Kaufmann",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference (GECCO-2001)",
  editor =       "Lee Spector and Erik D. Goodman and Annie Wu and 
                 W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and 
                 Sandip Sen and Marco Dorigo and Shahram Pezeshk and 
                 Max H. Garzon and Edmund Burke",
  address =      "San Francisco, California, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "7-11 " # jul,
  keywords =     "genetic algorithms, genetic programming, data fusion,
                 data mining, knowledge discovery, Receiver Operating
                 Characteristics, ensemble of classifiers, size fair
  ISBN =         "1-55860-774-9",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "8 pages",
  abstract =     "Genetic programming (GP) can automatically fuse given
                 classifiers to produce a combined classifier whose
                 Receiver Operating Characteristics (ROC) are better
                 than scott:1998:BMVC ``Maximum Realisable Receiver
                 Operating Characteristics'' (MRROC). I.e. better than
                 their convex hull. This is demonstrated on artificial,
                 medical and satellite image processing bench marks.",
  notes =        "GECCO-2001 A joint meeting of the tenth International
                 Conference on Genetic Algorithms (ICGA-2001) and the
                 sixth Annual Genetic Programming Conference (GP-2001)
                 Part of \cite{spector:2001:GECCO}",

Genetic Programming entries for William B Langdon Bernard Buxton