Partial Classifier Chains with Feature Selection by Exploiting Label Correlation in Multi-Label Classification

Multi-label classification (MLC) is a supervised learning problem where an object is naturally associated with multiple concepts because it can be described from various dimensions. How to exploit the resulting label correlations is the key issue in MLC problems. The classifier chain (CC) is a well-...

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Detalles Bibliográficos
Autores principales: Wang, Zhenwu, Wang, Tielin, Wan, Benting, Han, Mengjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597295/
https://www.ncbi.nlm.nih.gov/pubmed/33286912
http://dx.doi.org/10.3390/e22101143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597295/
https://www.ncbi.nlm.nih.gov/pubmed/33286912
http://dx.doi.org/10.3390/e22101143

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