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Competitive Particle Swarm Optimization for Multi-Category Text Feature Selection
Multi-label feature selection is an important task for text categorization. This is because it enables learning algorithms to focus on essential features that foreshadow relevant categories, thereby improving the accuracy of text categorization. Recent studies have considered the hybridization of ev...
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7515086/ https://ncbi.nlm.nih.gov/pubmed/33267316 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21060602 |
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