Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm
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- @InProceedings{conf/icannga/SemenkinaS13,
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author = "Maria Semenkina and Eugene Semenkin",
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title = "Classifier Ensembles Integration with Self-configuring
Genetic Programming Algorithm",
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booktitle = "Proceedings 11th International Conference on Adaptive
and Natural Computing Algorithms, ICANNGA 2013",
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year = "2013",
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editor = "Marco Tomassini and Alberto Antonioni and
Fabio Daolio and Pierre Buesser",
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volume = "7824",
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series = "Lecture Notes in Computer Science",
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pages = "60--69",
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address = "Lausanne, Switzerland",
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month = apr # " 4-6",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-37212-4",
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URL = "http://dx.doi.org/10.1007/978-3-642-37213-1",
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DOI = "doi:10.1007/978-3-642-37213-1_7",
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size = "10 pages",
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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