Using Genetic Programming for Multiclass Classification by Simultaneously Solving Component Binary Classification Problems

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

@TechReport{vuw-CS-TR-05-1,
  author =       "Will Smart and Mengjie Zhang",
  title =        "Using Genetic Programming for Multiclass
                 Classification by Simultaneously Solving Component
                 Binary Classification Problems",
  institution =  "Computer Science, Victoria University of Wellington",
  year =         "2005",
  number =       "CS-TR-05-1",
  address =      "New Zealand",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.mcs.vuw.ac.nz/comp/Publications/CS-TR-05-1.abs.html",
  URL =          "http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-05/CS-TR-05-1.pdf",
  abstract =     "we solve a series of multiclass object classification
                 problems using Genetic Programming (GP). All component
                 two-class subproblems of the multiclass problem are
                 solved in a single run, using a multi-objective fitness
                 function. Probabilistic methods are used, with each
                 evolved program required to solve only one subproblem.
                 Programs gain a fitness related to their rank at the
                 subproblem that they solve best. The new method is
                 compared with two other GP based methods on four
                 multiclass object classification problems of varying
                 difficulty. The new method outperforms the other
                 methods significantly in terms of both test
                 classification accuracy and training time at the best
                 validation performance in almost all experiments.",
}

Genetic Programming entries for Will Smart Mengjie Zhang

Citations