Selecting and constructing features using grammatical evolution

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  author =       "Dimitris Gavrilis and Ioannis G. Tsoulos and 
                 Evangelos Dermatas",
  title =        "Selecting and constructing features using grammatical
  journal =      "Pattern Recognition Letters",
  volume =       "29",
  number =       "9",
  pages =        "1358--1365",
  year =         "2008",
  ISSN =         "0167-8655",
  DOI =          "doi:10.1016/j.patrec.2008.02.007",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Grammatical
                 evolution, Artificial neural networks, Feature
                 selection, Feature construction",
  abstract =     "A novel method for feature selection and construction
                 is introduced. The method improves the classification
                 accuracy, using the well-established technique of
                 grammatical evolution by creating non-linear mappings
                 of the original features to artificial ones in order to
                 improve the effectiveness of artificial intelligence
                 tools such as multi-layer perceptron (MLP),
                 Radial-basis-function (RBF) neural networks and nearest
                 neighbor (KNN) classifier. The proposed method has been
                 applied on a series of classification and regression
                 problems and an experimental comparison is carried out
                 against the accuracy obtained on the original features
                 as well as on features created by the PCA method.",

Genetic Programming entries for Dimitris Gavrilis Ioannis G Tsoulos Evangelos Dermatas