Multi-Label Structure Learning with Ising Model Selection.

Authors: AR Goncalves, FJ Von Zuben, A Banerjee

Built on recent advances in structure learning in Ising Markov Random Fields (I-MRF), we propose a multi-label classification algorithm that explicitly estimate and incorporate label dependence into the classifiers learning process by means of a sparse convex multitask learning formulation.

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