Effective heterogeneous ensemble classification: An alternative approach for selecting base classifiers
In this paper, an alternative approach to select base classifiers forming a parallel heterogeneous ensemble is proposed. The fundamental concept is to trim poorly performing classifiers; thus, a more effective heterogeneous ensemble can be generated. More specifically, the proposed trimming approach...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-09-01
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| Series: | ICT Express |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959520304872 |