Multi-label classification using conditional dependency networks

IJCAI, pp. 1300-1305, 2011.

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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper, we tackle the challenges of multilabel classification by developing a general conditional dependency network model. The proposed model is a cyclic directed graphical model, which provides an intuitive representation for the dependencies among multiple label variables, and a well integrated framework for efficient model trai...More

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