Evolutionary Learning of Linear Trees with Embedded Feature Selection

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

  author =       "Marek Kretowski and Marek Grzes",
  title =        "Evolutionary Learning of Linear Trees with Embedded
                 Feature Selection",
  booktitle =    "Proceedings 8th International Conference on Artificial
                 Intelligence and Soft Computing {ICAISC}",
  year =         "2006",
  pages =        "400--409",
  series =       "Lecture Notes on Artificial Intelligence (LNAI)",
  volume =       "4029",
  publisher =    "Springer-Verlag",
  editor =       "Leszek Rutkowski and Ryszard Tadeusiewicz and 
                 Lotfi A. Zadeh and Jacek Zurada",
  address =      "Zakopane, Poland",
  month =        jun # " 25-29",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-35748-3",
  DOI =          "doi:10.1007/11785231_43",
  URL =          "http://aragorn.pb.bialystok.pl/~mkret/docs/icaisc2006.pdf",
  size =         "10 pages",
  abstract =     "a new evolutionary algorithm for global induction of
                 linear trees is presented. The learning process
                 consists of searching for both a decision tree
                 structure and hyper-plane weights in all nonterminal
                 nodes. Specialised genetic operators are developed and
                 applied according to the node quality and location.
                 Feature selection aimed at simplification of the
                 splitting hyper-planes is embedded into the algorithm
                 and results in elimination of noisy and redundant
                 features. The proposed approach is verified on both
                 artificial and real-life data and the obtained results
                 are promising.",

Genetic Programming entries for Marek Kretowski Marek Grzes