Interactive Causal Correlation Space Reshape for Multi-Label Classification

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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Chao Zhang, Yusheng Cheng, Yibin Wang, Yuting Xu
Format:	Artykuł
Język:	English
Wydane:	Universidad Internacional de La Rioja (UNIR) 2022-09-01
Seria:	International Journal of Interactive Multimedia and Artificial Intelligence
Hasła przedmiotowe:	conditional probability interactive causal inference label co-occurrence label space reshape multi-label classification
Dostęp online:	https://www.ijimai.org/journal/bibcite/reference/3159

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