This paper presents a novel feature selection method for multi-label data, combining Ant Colony Optimization with Reinforcement Learning (RL) and Opposition-Based Learning in a semi-supervised ...
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 ...
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