Multi-Label Learning with Global and Local Label Correlation
Multi-Label Learning with Global and Local Label Correlation
It is well-known that exploiting label correlations is important to multi-label learning. Existing approaches either assume that the label correlations are global and shared by all instances; or that the label correlations are local and shared only by a data subset. In fact, in the real-world applications, both cases may …