Incremental Gene Expression Programming Classifier with Metagenes and Data Reduction
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- @Article{Jedrzejowicz:2018:Complexity,
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author = "Joanna Jedrzejowicz and Piotr Jedrzejowicz",
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title = "Incremental Gene Expression Programming Classifier
with Metagenes and Data Reduction",
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journal = "Complexity",
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year = "2018",
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pages = "Article ID 6794067",
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keywords = "genetic algorithms, genetic programming, gene
expression programming",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/complexity/complexity2018.html#JedrzejowiczJ18",
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URL = "http://downloads.hindawi.com/journals/complexity/2018/6794067.pdf",
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DOI = "doi:10.1155/2018/6794067",
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size = "12 pages",
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abstract = "The paper proposes an incremental Gene Expression
Programming classifier. Its main features include using
two-level ensemble consisting of base classifiers in
form of genes and the upper-level classifier in the
form of metagene. The approach enables us to deal with
big datasets through controlling computation time using
data reduction mechanisms. The user can control the
number of attributes used to induce base classifiers as
well as the number of base classifiers used to induce
metagenes. To optimise the parameter setting phase, an
approach based on the Orthogonal Experiment Design
principles is proposed, allowing for statistical
evaluation of the influence of different factors on the
classifier performance. In addition, the algorithm is
equipped with a simple mechanism for drift detection. A
detailed description of the algorithm is followed by
the extensive computational experiment. Its results
validate the approach. Computational experiment results
show that the proposed approach compares favourably
with several state-of-the-art incremental
classifiers.",
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notes = "Institute of Informatics, Faculty of Mathematics,
Physics and Informatics, University of Gdansk, 80-308
Gdansk, Poland",
- }
Genetic Programming entries for
Joanna Jedrzejowicz
Piotr Jedrzejowicz
Citations