GEML: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification

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@InProceedings{Fitzgerald:2015:ECTArevised,

• author = "Jeannie M. Fitzgerald and R. Muhammad Atif Azad and Conor Ryan",
• title = "{GEML}: A Grammatical Evolution, Machine Learning Approach to Multi-class Classification",
• booktitle = "The 7th International Joint Conference on Computational Intelligence (IJCCI 2015)",
• year = "2015",
• editor = "Juan Julian Merelo and Agostinho Rosa and Jose M. Cadenas and Antonio Dourado Correia and Kurosh Madani and Antonio Ruano and Joaquim Filipe",
• volume = "669",
• series = "Studies in Computational Intelligence",
• pages = "113--134",
• address = "Lisbon, Portugal",
• month = nov # " 12-14",
• organisation = "INSTICC",
• publisher = "Springer",
• note = "Revised Selected Papers",
• keywords = "genetic algorithms, genetic programming, Grammatical evolution, Multi-class classification, Evolutionary computation, Machine learning",
• isbn13 = "978-3-319-48506-5",
• DOI = "doi:10.1007/978-3-319-48506-5_7",
• abstract = "In this paper, we propose a hybrid approach to solving multi-class problems which combines evolutionary computation with elements of traditional machine learning. The method, Grammatical Evolution Machine Learning (GEML) adapts machine learning concepts from decision tree learning and clustering methods and integrates these into a Grammatical Evolution framework. We investigate the effectiveness of GEML on several supervised, semi-supervised and unsupervised multi-class problems and demonstrate its competitive performance when compared with several well known machine learning algorithms. The GEML framework evolves human readable solutions which provide an explanation of the logic behind its classification decisions, offering a significant advantage over existing paradigms for unsupervised and semi-supervised learning. In addition we also examine the possibility of improving the performance of the algorithm through the application of several ensemble techniques.",
• notes = "Published by Springer 2017. See \cite{Fitzgerald:2015:ECTA}

  Biocomputing and Developmental Systems Group, University of Limerick, Limerick, Ireland",

}

Genetic Programming entries for Jeannie Fitzgerald R Muhammad Atif Azad Conor Ryan

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