Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models

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

@InProceedings{hunter:2002:ECAI,
  author =       "Andrew Hunter",
  title =        "Using Multiobjective Genetic Programming to Infer
                 Logistic Polynomial Regression Models",
  booktitle =    "15th European Conference on Artificial Intelligence",
  year =         "2002",
  editor =       "Frank {Van Harmelen}",
  pages =        "193--197",
  address =      "Lyon, France",
  month =        "21-26 " # jul,
  organisation = "ECCAI and AFAI",
  publisher =    "IOS Press",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://frontiersinai.com/ecai/ecai2002/pdf/p0193.pdf",
  size =         "5 pages",
  abstract =     "In designing non-linear classifiers, there are
                 important trade-offs to be made between predictive
                 accuracy and model comprehensibility or complexity. We
                 introduce the use of Genetic Programming to generate
                 logistic polynomial models, a relatively comprehensible
                 non-linear parametric model; describe an efficient
                 twostage algorithm consisting of GP structure design
                 and Quasi-Newton coefficient setting; demonstrate that
                 Niched Pareto Multiobjective Genetic Programming can be
                 used to discover a range of classifiers with different
                 complexity versus 'performance' trade-offs; introduce a
                 technique to integrate a new 'ROC (Receiver Operating
                 Characteristic) dominance' concept into the
                 multiobjective setting; and suggest some modifications
                 to the Niched Pareto GA for use in Genetic Programming.
                 The technique successfully generates classifiers with
                 diverse complexity and performance characteristics.",
  notes =        "ECAI 2002
                 http://frontiersinai.com/ecai/ecai2002/index.html
                 broken Dec 2012
                 http://ecai2002.univ-lyon1.fr/show_en.pl?page=en/program/ecai.html
                 PAIS 2012 Boi Faltings",
}

Genetic Programming entries for Andrew Hunter

Citations