On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Zdenek Vasicek and Michal Bidlo",
  title =        "On Evolution of Multi-Category Pattern Classifiers
                 Suitable for Embedded Systems",
  booktitle =    "17th European Conference on Genetic Programming",
  year =         "2014",
  editor =       "Miguel Nicolau and Krzysztof Krawiec and 
                 Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and 
                 Juan J. Merelo and Victor M. {Rivas Santos} and 
                 Kevin Sim",
  series =       "LNCS",
  volume =       "8599",
  publisher =    "Springer",
  pages =        "234--245",
  address =      "Granada, Spain",
  month =        "23-25 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming :poster",
  isbn13 =       "978-3-662-44302-6",
  DOI =          "doi:10.1007/978-3-662-44303-3_20",
  abstract =     "This paper addresses the problem of evolutionary
                 design of classifiers for the recognition of
                 handwritten digit symbols by means of Cartesian Genetic
                 Programming. Two different design scenarios are
                 investigated: the design of multiple-output classifier,
                 and design of multiple binary classifiers. The goal is
                 to evolve classification algorithms that employ
                 substantially smaller amount of operations in contrast
                 with conventional approaches such as Support Vector
                 Machines. Even if the evolved classifiers do not reach
                 the accuracy of the tuned SVM classifier, it will be
                 shown that the accuracy is higher than 93percent and
                 the number of required operations is a magnitude
  notes =        "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
                 conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
                 and EvoApplications2014",

Genetic Programming entries for Zdenek Vasicek Michal Bidlo