This paper introduces the concepts and algorithms for label distribution learning (LDL) and label enhancement. LDL is a general machine learning paradigm with traditional single-label learning and multi-label learning as its special cases. A label distribution covers a certain number of labels, repres...
This paper introduces the concepts and algorithms for label distribution learning (LDL) and label enhancement. LDL is a general machine learning paradigm with traditional single-label learning and multi-label learning as its special cases. A label distribution covers a certain number of labels, repres...
In the studies of traditional multi-label learning, they assume the observed label distribution in the training data is the same as the true label distribution in the test data. In real applications, however, it is not the case; some existing semantics are not labeled throughout the dataset....
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