A neuroevolutionary approach to feature selection using multiobjective evolutionary algorithms
Feature selection plays a central role in predictive analysis where datasets have hundreds or thousands of variables available. It can also reduce the overall training time and the computational costs of the classifiers used. However, feature selection methods can be computationally intensive or dep...
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| Other Authors: | , , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/63271 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/63271 |