Comparison of multi-objective algorithms applied to feature selection
The feature selection problem can be formulated as a multi-objective optimization (MOO) problem, as it involves the minimization of the feature subset cardinality and the misclassification error. In this chapter, a comparison of MOO algorithms applied to feature selection is presented. The used MOO...
| Autor principal: | |
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2017
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| Texto completo: | http://hdl.handle.net/10400.21/6939 |
| País: | Portugal |
| Oai: | oai:repositorio.ipl.pt:10400.21/6939 |