Finding Similarity Functions for Classification with Genetic Programming: Preliminary Results

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@InProceedings{Guzman-Trampe:2012:evolve,
  author =       "Juan Evencio Guzman-Trampe and 
                 Nareli {Cruz Cortes} and Daniel Ortiz-Arroyo",
  title =        "Finding Similarity Functions for Classification with
                 Genetic Programming: Preliminary Results",
  booktitle =    "EVOLVE - A Bridge between Probability, Set Oriented
                 Numerics, and Evolutionary Computation {II}",
  year =         "2012",
  editor =       "Oliver Schuetze and Carlos A. {Coello Coello} and 
                 Alexandru-Adrian Tantar and Emilia Tantar and 
                 Pascal Bouvry and Pierre {Del Moral} and Pierrick Legrand",
  address =      "Mexico City, Mexico",
  month =        aug # " 7-9",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://vbn.aau.dk/ws/files/68595778/TrampeaNareliOrtiz.pdf",
  size =         "7 pages",
  abstract =     "In this paper we propose a Genetic Programming
                 algorithm designed with a coevolutive scheme for
                 classication problems. Our algorithm searches for
                 similarity functions that are applied to compare pairs
                 of objects from a supervised sample. The output of
                 these functions can be used in similarity-based
                 classiers.",
  notes =        "EVOLVE-2012 Not in Springer publication of
                 proceedings",
}

Genetic Programming entries for Juan Evencio Guzman Trampe Nareli Cruz Cortes Daniel Ortiz Arroyo

Citations