LCBM: A Multi-view Probabilistic Model for Multi-label Classification

IEEE transactions on pattern analysis and machine intelligence, pp. 1-1, 2020.

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Abstract:

Multi-label classification is an important research topic in machine learning, for which exploiting label dependency is an effective modeling principle. Recently, probabilistic models have shown great potential in discovering dependencies among labels. In this paper, motivated by the recent success of multi-view learning to improve the ge...More

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