Improving Induction of Linear Classification Trees with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Bot:2000:GECCO,

• author = "Martijn C. J. Bot",
• title = "Improving Induction of Linear Classification Trees with Genetic Programming",
• pages = "403--410",
• 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/GP185.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/martijn/bot.gecco2000.19jan.ps.gz",
• URL = "http://citeseer.ist.psu.edu/316984.html",
• abstract = "Decision trees are a well known technique in machine learning for describing the underlying structure of a dataset. In [Bot and Langdon, 2000] a new representation of decision trees using strong typing in GP was introduced. In the function nodes, a linear combination of variables is made. The effects of techniques such as limited error fitness, fitness sharing Pareto scoring and domination Pareto scoring are evaluated on a set of benchmark classification problems. Comparisons with current state-of-the-art algorithms in machine learning are presented and areas of future research are identified. Results indicate that GP can be applied successfully to classification problems. Limited error fitness reduces runtime while maintaing equal accuracy. Pareto scoring works well against bloat. Fitness sharing Pareto works better than domination Pareto.",
• 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 Martijn C J Bot

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