Genetic Programming for Performance Improvement and Dimensionality Reduction of Classification Problems

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

@InProceedings{Neshatian:2008:cec,
  author =       "Kourosh Neshatian and Mengjie Zhang",
  title =        "Genetic Programming for Performance Improvement and
                 Dimensionality Reduction of Classification Problems",
  booktitle =    "2008 IEEE World Congress on Computational
                 Intelligence",
  year =         "2008",
  editor =       "Jun Wang",
  pages =        "2811--2818",
  address =      "Hong Kong",
  month =        "1-6 " # jun,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  isbn13 =       "978-1-4244-1823-7",
  file =         "EC0631.pdf",
  DOI =          "doi:10.1109/CEC.2008.4631175",
  abstract =     "In this paper, Genetic programming (GP) is used to
                 construct a new set of high level features based on the
                 original attributes of a classification problem with
                 the goal of improving the classification performance
                 and reducing the dimensionality. A non-wrapper approach
                 is taken and a new fitness function is proposed based
                 on the Renyi entropy. The GP system uses a variable
                 terminal pool which is constructed by the class-wise
                 orthogonal transformations of the original features.
                 The performance measure is classification accuracy on
                 12 benchmark problems using constructed features in a
                 decision tree classifier. The performance over
                 difficult problems has been improved by constructing
                 features for compound classes. This approach is
                 compared with the principle component analysis (PCA)
                 method and the results show that the new approach
                 outperforms the PCA method on most of the problems in
                 terms of classification performance and dimensionality
                 reduction.",
  keywords =     "genetic algorithms, genetic programming",
  notes =        "WCCI 2008 - A joint meeting of the IEEE, the INNS, the
                 EPS and the IET.",
}

Genetic Programming entries for Kourosh Neshatian Mengjie Zhang

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