A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{cano:2013:EuroGP,

• author = "Alberto Cano and Amelia Zafra and Eva L. Gibaja and Sebastian Ventura",
• title = "A Grammar-Guided Genetic Programming Algorithm for Multi-Label Classification",
• booktitle = "Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013",
• year = "2013",
• month = "3-5 " # apr,
• editor = "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu",
• series = "LNCS",
• volume = "7831",
• publisher = "Springer Verlag",
• address = "Vienna, Austria",
• pages = "217--228",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, grammar-guided genetic programming, Multi-label classification, rule learning",
• isbn13 = "978-3-642-37206-3",
• DOI = "doi:10.1007/978-3-642-37207-0_19",
• abstract = "Multi-label classification is a challenging problem which demands new knowledge discovery methods. This paper presents a Grammar-Guided Genetic Programming algorithm for solving multi-label classification problems using IF-THEN classification rules. This algorithm, called G3P-ML, is evaluated and compared to other multi-label classification techniques in different application domains. Computational experiments show that G3P-ML often obtains better results than other algorithms while achieving a lower number of rules than the other methods.",
• notes = "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013 and EvoApplications2013",

}

Genetic Programming entries for Alberto Cano Rojas Amelia Zafra Gomez Eva L Gibaja Sebastian Ventura

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