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Bao et al., 2022 - Google Patents

Asymmetry label correlation for multi-label learning

Bao et al., 2022

Document ID
17523404893456808107
Author
Bao J
Wang Y
Cheng Y
Publication year
Publication venue
Applied Intelligence

External Links

Snippet

As an effective method for mining latent information between labels, label correlation is widely adopted by many scholars to model multi-label learning algorithms. Most existing multi-label algorithms usually ignore that the correlation between labels may be asymmetric …
Continue reading at link.springer.com (other versions)

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