Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm

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@InProceedings{conf/icannga/SemenkinaS13,

• author = "Maria Semenkina and Eugene Semenkin",
• title = "Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm",
• booktitle = "Proceedings 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013",
• year = "2013",
• editor = "Marco Tomassini and Alberto Antonioni and Fabio Daolio and Pierre Buesser",
• volume = "7824",
• series = "Lecture Notes in Computer Science",
• pages = "60--69",
• address = "Lausanne, Switzerland",
• month = apr # " 4-6",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-37212-4",
• URL = "http://dx.doi.org/10.1007/978-3-642-37213-1",
• DOI = "doi:10.1007/978-3-642-37213-1_7",
• size = "10 pages",
• abstract = "Artificial neural networks and symbolic expression based ensembles are used for solving classification problems. Ensemble members and the ensembling method are generated automatically with the self-configuring genetic programming algorithm that does not need preliminary adjusting. Performance of the approach is demonstrated with real world problems. The proposed approach demonstrates results competitive to known techniques.",

}

Genetic Programming entries for Maria Semenkina Eugene Semenkin

Citations