Multi-label classification methods have been applied in many real-world fields. To the problem of label-relevance in multi-label classification, this paper proposes a novel multi-label classification method by automatically acquiring label relevant information. The method introduces a probabilistic model to solve the established optimization sub-problem by using alternative maximization algorithm. It also gives the inference. This model can acquire label relevant information,and it can achieve better multi-...
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