Interactive Causal Correlation Space Reshape for Multi-Label Classification
Most existing multi-label classification models focus on distance metrics and feature spare strategies to extract specific features of labels. Those models use the cosine similarity to construct the label correlation matrix to constraint solution space, and then mine the latent semantic information...
| Auteurs principaux: | , , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
Universidad Internacional de La Rioja (UNIR)
2022-09-01
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| Collection: | International Journal of Interactive Multimedia and Artificial Intelligence |
| Sujets: | |
| Accès en ligne: | https://www.ijimai.org/journal/bibcite/reference/3159 |