Multi-Label Feature Selection Based on High-Order Label Correlation Assumption

Multi-label data often involve features with high dimensionality and complicated label correlations, resulting in a great challenge for multi-label learning. Feature selection plays an important role in multi-label learning to address multi-label data. Exploring label correlations is crucial for mul...

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Detalles Bibliográficos
Autores principales: Zhang, Ping, Gao, Wanfu, Hu, Juncheng, Li, Yonghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517369/
https://www.ncbi.nlm.nih.gov/pubmed/33286568
http://dx.doi.org/10.3390/e22070797

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517369/
https://www.ncbi.nlm.nih.gov/pubmed/33286568
http://dx.doi.org/10.3390/e22070797

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