Adding new features and classes to classifiers evolved using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4215

  author =       "Panitnat Yimyam and Adrian F. Clark",
  title =        "Adding new features and classes to classifiers evolved
                 using genetic programming",
  booktitle =    "International Conference on Electronics, Computer and
                 Computation (ICECCO 2013)",
  year =         "2013",
  month =        "7-9 " # nov,
  pages =        "224--227",
  keywords =     "genetic algorithms, genetic programming, Adding new
                 features and classes, Classification, Agricultural
  DOI =          "doi:10.1109/ICECCO.2013.6718269",
  abstract =     "This paper considers the need to re-train a multiclass
                 classifier that has initially been evolved using
                 genetic programming to accommodate new features or new
                 classes. For the former, the new feature is
                 incorporated into a program by mutation; after that, a
                 program that performs classification using all the
                 features is obtained by evolution. For the latter, a
                 binary classifier is evolved that is able to
                 distinguish the new class from all existing classes is
                 evolved, and it is executed before the existing
                 classification programs. The two approaches are
                 demonstrated on a range of classification problems
                 drawn from the general area of produce grading and the
                 results demonstrate the effectiveness of the proposed
                 approach, in terms of both computational speed and
                 classification performance.",
  notes =        "Also known as \cite{6718269}",

Genetic Programming entries for Panitnat Yimyam Adrian F Clark