Inducing Diverse Decision Forests with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{eurogp:SuchyK05,

• author = "Jan Suchy and Jiri Kubalik",
• editor = "Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
• title = "Inducing Diverse Decision Forests with Genetic Programming",
• booktitle = "Proceedings of the 8th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "3447",
• year = "2005",
• address = "Lausanne, Switzerland",
• month = "30 " # mar # " - 1 " # apr,
• organisation = "EvoNet",
• keywords = "genetic algorithms, genetic programming: Poster",
• ISBN = "3-540-25436-6",
• pages = "301--310",
• URL = "http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/6/suchy05eurogp.pdf",
• DOI = "doi:10.1007/978-3-540-31989-4_27",
• DOI = "doi:10.1007/b107383",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• abstract = "This paper presents an algorithm for induction of ensembles of decision trees, also referred to as decision forests. In order to achieve high expressiveness the trees induced are multivariate, with various, possibly user-defined tests in their internal nodes. Strongly typed genetic programming is used to evolve structure of the tests. Special attention is given to the problem of diversity of the forest constructed. An approach is proposed, which explicitly encourages the induction algorithm to produce a different tree each run, which represents an alternative description of the data. It is shown that forests constructed with this approach have significantly reduced classification error even for small forest size, compared to other ensemble methods. Classification accuracy of the algorithm is also compared to other recent methods on several real-world datasets.",
• notes = "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in conjunction with EvoCOP2005 and EvoWorkshops2005",

}

Genetic Programming entries for Jan Suchy Jiri Kubalik

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