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Label recovery and label correlation co-learning for multi-view multi-label classification with incomplete labels
Multi-view multi-label learning (MVML) is an important paradigm in machine learning, where each instance is represented by several heterogeneous views and associated with a set of class labels. However, label incompleteness and the ignorance of both the relationships among views and the correlations...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360669/ https://www.ncbi.nlm.nih.gov/pubmed/35966181 http://dx.doi.org/10.1007/s10489-022-03945-y |