Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework
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DOI: 10.1109/tcyb.2019.2932439
Abstract: Multilabel classification deals with instances assigned with multiple labels simultaneously. It focuses on learning a mapping from feature space to label a space for out-of-sample extrapolation. The mapping can be seen as a feature selection… read more here.
Keywords: fine tuned; specific features; label; multilabel classification ... See more keywords