Multi-Label Learning with Global and Local Label Correlation
نویسندگان
چکیده
منابع مشابه
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 occur that some label correlations are globally applicable and some are sh...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2018
ISSN: 1041-4347,1558-2191,2326-3865
DOI: 10.1109/tkde.2017.2785795