Cellular gene expression programming classifier learning
作者： Joanna Jędrzejowicz , Piotr Jędrzejowicz
DOI: 10.1007/978-3-642-24016-4_4
关键词:
摘要: In this paper we propose integrating two collective computational intelligence techniques: gene expression programming and cellular evolutionary algorithms with a view to induce trees, which, subsequently, serve as weak classifiers. From these classifiers stronger ensemble are constructed using majority-voting boosting techniques. The includes the discussion of validating experiment result confirming high quality proposed
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sci-hub.st 参考文章(24)
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