Embedded feature fusion for multi-label criteria selection via local search strategy and particle swarm optimization

Abstract Multi-label classification is a significant challenge in machine learning, especially as the dimensionality of the problem increases. As the number of dimensions grows, the performance of traditional classification algorithms often degrades substantially. Feature selection is a key techniqu...

全面介紹

書目詳細資料

Principais autores:	Suhua Chen, Xu Fang, Feng Zhai, Li Wang, Lin Lv
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2025-05-01
叢編:	Scientific Reports
主題:	Multi-label classification Filter type Local search strategy Feature fusion Collective intelligence PSO algorithm
在線閱讀:	https://doi.org/10.1038/s41598-025-01092-1
標簽:	添加標簽 沒有標簽, 成為第一個標記此記錄!