Separation Surfaces Through Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{riquelme:2001:IEA,
  author =       "Jose C. Riquelme and Raul Giraldez and 
                 Jesus S. Aguilar and Roberto Ruiz",
  title =        "Separation Surfaces Through Genetic Programming",
  booktitle =    "14th International Conference on Industrial and
                 Engineering Applications of Artificial Intelligence and
                 Expert Systems (IEA/AIE 2001)",
  year =         "2001",
  editor =       "L. Monostori and J. Vancza and Moonis Ali",
  volume =       "2070",
  series =       "Lecture Notes in Computer Science",
  pages =        "428--433",
  address =      "Budapest",
  publisher_address = "Heidelberg",
  month =        "4-7 " # jun,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming,
                 classification, dynamical systems",
  isbn13 =       "978-3-540-42219-8",
  URL =          "http://www.lsi.us.es/%7Eriquelme/publicaciones/iea+aie01_pg.zip",
  URL =          "http://citeseer.ist.psu.edu/riquelme01separation.html",
  DOI =          "doi:10.1007/3-540-45517-5_47",
  abstract =     "The aim of this paper is to describe a study for the
                 obtaining, symbolically, of the separation surfaces
                 between clusters of a labelled database. A separation
                 surface is an equation with the form , where is a
                 function of . The calculation of function is begun by
                 the development of the parametric regression by means
                 of the use of the Genetic Programming. The symbolic
                 regression consists in approximating an unknown
                 function's equation, through knowledge of certain
                 points' coordinates and the value that a function
                 reaches with the same ones. This possibility was
                 propose in [Koza92a] and its advantage in front of the
                 classic statistical regressions is that it is not
                 necessary previously to know the form the function.
                 Once this surface is found, a classifier for the
                 database could be obtained. The technique has been
                 applied to different examples and the results have been
                 very satisfactory.",
  notes =        "(Departamento de Lenguajes y Sistemas Informaticos)
                 IEA/AIE-2001

                 ghostview barfs at ieaqPqaie01_pg.ps but it prints ok
                 on HP printer.",
}

Genetic Programming entries for Jose C Riquelme Raul Giraldez Rojo Jesus S Aguilar-Ruiz Roberto Ruiz Sanchez

Citations