Multi-label learning addresses classification tasks in which each instance may be associated with multiple, non-exclusive labels. Unlike traditional single-label approaches, multi-label methods must ...
Initially, several strategies transform the multi-label learning challenge into one or more single-label problems to utilize single-label learning techniques 8,9,10. Secondly, other methods involve ...
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