Genetic Programming for Feature Discovery and Image Discrimination   [GP] [ID]

by

Tackett, W., A.

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Info: Proceedings of the 5th International Conference on Genetic Algorithms, ICGA-93 (Conference proceedings), 1993, p. 303-309
Keywords:genetic algorithms, genetic programming
Notes:
Contrasts ANN, Binary Tree Classifier and GP on same test data. GP a bit better but 8 times faster in execution. GP(lisp) takes far more CPU to learn. Version in C (GP/C) 25 times faster than GP(lisp) see also ftp://ftp.mad-scientist.com/pub/genetic-programming/papers/.message GP.feature.discovery.ps.Z
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BibTex:
@InProceedings{icga93:tackett,
  author =       "Walter Alden Tackett",
  title =        "Genetic Programming for Feature Discovery and Image
                 Discrimination",
  year =         "1993",
  booktitle =    "Proceedings of the 5th International Conference on
                 Genetic Algorithms, ICGA-93",
  editor =       "Stephanie Forrest",
  publisher =    "Morgan Kaufmann",
  pages =        "303--309",
  size =         "7 pages",
  address =      "University of Illinois at Urbana-Champaign",
  month =        "17-21 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  notes =        "Contrasts ANN, Binary Tree Classifier and GP on same
                 test data. GP a bit better but 8 times faster in
                 execution. GP(lisp) takes far more CPU to learn.
                 Version in C (GP/C) 25 times faster than GP(lisp)

                 see also
                 ftp://ftp.mad-scientist.com/pub/genetic-programming/papers/.message
                 GP.feature.discovery.ps.Z",
}