Higher Order Functions for Kernel Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{agapitos:2014:EuroGP,
  author =       "Alexandros Agapitos and James McDermott and 
                 Michael O'Neill and Ahmed Kattan and Anthony Brabazon",
  title =        "Higher Order Functions for Kernel Regression",
  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 =        "1--12",
  address =      "Granada, Spain",
  month =        "23-25 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-662-44302-6",
  DOI =          "doi:10.1007/978-3-662-44303-3_1",
  abstract =     "Kernel regression is a well-established nonparametric
                 method, in which the target value of a query point is
                 estimated using a weighted average of the surrounding
                 training examples. The weights are typically obtained
                 by applying a distance-based kernel function, which
                 presupposes the existence of a distance measure. This
                 paper investigates the use of Genetic Programming for
                 the evolution of task-specific distance measures as an
                 alternative to Euclidean distance. Results on seven
                 real-world datasets show that the generalisation
                 performance of the proposed system is superior to that
                 of Euclidean-based kernel regression and standard GP.",
  notes =        "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
                 conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
                 and EvoApplications2014",
}

Genetic Programming entries for Alexandros Agapitos James McDermott Michael O'Neill Ahmed Kattan Anthony Brabazon

Citations