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The estimation of mutual information between graphs has been an elusive problem until the formulation of graph matching in terms of manifold alignment. Then, graphs are mapped to multi-dimensional sets of points through structure preserving embeddings. Point-wise alignment algorithms can be exploited in this context to re-cast graph matching in terms of point matching. Methods based on bypass entropy...
Nowadays, many data sources that include multi-label learning and multi-label classification have emerged in recent application areas. To achieve high classification accuracy, the multi-label feature selection method has received much attention because its accuracy can be significantly improved by selecting important features. In previous multi-label feature selection studies, a score function was...
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