Class-specific feature generation for 1NN through genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Mauricio Garcia Limon and Hugo Jair Escalante and 
                 Eduardo Morales and Luis Villasenor Pineda",
  booktitle =    "2015 IEEE International Autumn Meeting on Power,
                 Electronics and Computing (ROPEC)",
  title =        "Class-specific feature generation for {1NN} through
                 genetic programming",
  year =         "2015",
  abstract =     "This paper introduces a genetic program for
                 class-specific feature extraction for 1NN. Under the
                 proposed method a new feature space is generated for
                 each class in the problem under analysis. Where feature
                 spaces are build by merging the initial features with a
                 genetic program that aims at maximizing classification
                 accuracy of a 1NN classifier. We compare the
                 performance of our method to both, classical-standard
                 techniques (e.g., PCA, LDA) and to solutions based on
                 evolutionary algorithms. Experimental results reveal
                 our method outperforms alternative solutions in a wide
                 variety of data sets.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/ROPEC.2015.7395158",
  month =        nov,
  notes =        "Also known as \cite{7395158}",

Genetic Programming entries for Mauricio Garcia-Limon Hugo Jair Escalante Eduardo F Morales Luis Villasenor Pineda