Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks

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@Article{krawiec:2002:GPEM,
  author =       "Krzysztof Krawiec",
  title =        "Genetic Programming-based Construction of Features for
                 Machine Learning and Knowledge Discovery Tasks",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2002",
  volume =       "3",
  number =       "4",
  pages =        "329--343",
  month =        dec,
  keywords =     "genetic algorithms, genetic programming, machine
                 learning, change of representation, feature
                 construction, feature selection",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1023/A:1020984725014",
  abstract =     "we use genetic programming for changing the
                 representation of the input data for machine learners.
                 In particular, the topic of interest here is feature
                 construction in the learning-from-examples paradigm,
                 where new features are built based on the original set
                 of attributes. The paper first introduces the general
                 framework for GP-based feature construction. Then, an
                 extended approach is proposed where the useful
                 components of representation (features) are preserved
                 during an evolutionary run, as opposed to the standard
                 approach where valuable features are often lost during
                 search. Finally, we present and discuss the results of
                 an extensive computational experiment carried out on
                 several reference data sets. The outcomes show that
                 classifiers induced using the representation enriched
                 by the GP-constructed features provide better accuracy
                 of classification on the test set. In particular, the
                 extended approach proposed in the paper proved to be
                 able to outperform the standard approach on some
                 benchmark problems on a statistically significant
                 level.",
  notes =        "Article ID: 5103872",
}

Genetic Programming entries for Krzysztof Krawiec

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