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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Detalles Bibliográficos
Autores principales: Lee, Jaesung, Park, Jaegyun, Kim, Hae-Cheon, Kim, Dae-Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515086/
https://www.ncbi.nlm.nih.gov/pubmed/33267316
http://dx.doi.org/10.3390/e21060602

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515086/
https://www.ncbi.nlm.nih.gov/pubmed/33267316
http://dx.doi.org/10.3390/e21060602

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