Abstract: Label distribution learning (LDL), leveraging the label significance (LS), is more appropriate for solving label ambiguity problems than multilabel learning (MLL). However, directly ...
Abstract: Let H be a fixed graph with h vertices, let G be a graph on n vertices and suppose that at least /spl epsi/n/sup 2/ edges have to be deleted from it to make it H-free. It is known that in ...
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