A Study on Efficient Generation of Decision Trees Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8098

@InProceedings{Tanigawa:2000:GECCO,

• author = "Toru Tanigawa and Qiangfu Zhao",
• title = "A Study on Efficient Generation of Decision Trees Using Genetic Programming",
• pages = "1047--1052",
• year = "2000",
• publisher = "Morgan Kaufmann",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000)",
• editor = "Darrell Whitley and David Goldberg and Erick Cantu-Paz and Lee Spector and Ian Parmee and Hans-Georg Beyer",
• address = "Las Vegas, Nevada, USA",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "10-12 " # jul,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "1-55860-708-0",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2000/NN260.pdf",
• URL = "http://www.u-aizu.ac.jp/~qf-zhao/CONTRIBUTION/gecco2000.ps.Z",
• URL = "http://citeseer.ist.psu.edu/498621.html",
• size = "6 pages",
• abstract = "For pattern recognition, the decision trees (DTs) are more efficient than neural networks (NNs) for two reasons. First, the computations in making decisions are simpler. Second, important features can be selected automatically during the design process. On the other hand, NNs are adaptable, and thus have the ability to learn in changing environment.",
• notes = "A joint meeting of the ninth International Conference on Genetic Algorithms (ICGA-2000) and the fifth Annual Genetic Programming Conference (GP-2000) Part of \cite{whitley:2000:GECCO}",

}

Genetic Programming entries for Toru Tanigawa Qiangfu Zhao

Citations