BENCHMARKING BIO-INSPIRED COMPUTATION ALGORITHMS AS WRAPPERS FOR FEATURE SELECTION
Reducing the number of features when applying machine learning algorithms may be beneficial not only from the standpoint of computational cost but also of overall quality. Wrapper-based procedures are widely utilised to achieve this. The choice of the wrapper is of utmost importance. Bio-inspired...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-08-01
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| Series: | Acta Electrotechnica et Informatica |
| Subjects: | |
| Online Access: | http://www.aei.tuke.sk/papers/2020/2/05_Bajer.pdf |