Feature selection applied to classification of cancerous tissue

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Joel Pitt",
  title =        "Feature selection applied to classification of
                 cancerous tissue",
  school =       "Computer Science and Software Engineering, Canterbury
  year =         "2003",
  type =         "Honours Report",
  address =      "Christchurch, New Zealand",
  month =        "7 " # nov,
  keywords =     "genetic algorithms, genetic programming, SVM",
  URL =          "http://www.cosc.canterbury.ac.nz/research/reports/HonsReps/2003/hons_0308.pdf",
  size =         "47 pages",
  abstract =     "Support Vector Machines and Genetic Programming
                 Classifers (GPCs) to distinguish between classes of
                 cancer based on gene expression data. The effect of
                 feature selection on classifer accuracy and on the
                 convergence time of GPCs is experimentally
                 investigated, with the goal of making classifcation
                 problems on gene expression data tractable to GPCs.",

Genetic Programming entries for Joel Peter William Pitt