The Evolutionary Pre-Processor: Automatic Feature Extraction for Supervised Classification using Genetic Programming

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@InProceedings{Sherrah:1997:epafxsc,
  author =       "Jamie R. Sherrah and Robert E. Bogner and 
                 Abdesselam Bouzerdoum",
  title =        "The Evolutionary Pre-Processor: Automatic Feature
                 Extraction for Supervised Classification using Genetic
                 Programming",
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and 
                 David B. Fogel and Max Garzon and Hitoshi Iba and 
                 Rick L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "304--312",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  URL =          "http://citeseer.ist.psu.edu/284782.html",
  abstract =     "The extraction of features for classification is often
                 performed heuristically, despite the effect this step
                 has on the performance of the classifier. The
                 Evolutionary Pre-Processor is presented, an automatic
                 nonparametric method for the extraction of non-linear
                 features. Using genetic programming, the Evolutionary
                 Pre-Processor evolves networks of different non-linear
                 functions which pre-process the data to improve the
                 discriminatory performance of a classifier. In
                 experiments performed on 9 real-world data sets, the
                 Evolutionary Pre-Processor was able to pre-process the
                 data to reduce the test set misclassification rate. The
                 dimensionality of the data was decreased and those
                 measurements not required for classification were
                 excised. The Evolutionary PreProcessor behaved
                 intelligently by deciding whether to perform feature
                 extraction or feature selection.",
  notes =        "GP-97",
}

Genetic Programming entries for Jamie R Sherrah Robert E Bogner Abdesselam Bouzerdoum

Citations