Co-learning binary classifiers for LP-based multi-label classification
J Shan, C Hou, H Tao, W Zhuge, D Yi�- Cognitive Systems Research, 2019 - Elsevier
A simple yet practical multi-label learning method, called label powerset (LP), considers
each different combination of labels that appear in the training set as a different class value
of a single-label classification task. However, because those classes source from multiple
labels, there may be some inherent relationships among them. To tackle this challenge, we
propose a novel model which aims to co-learn binary classifiers, by combining the training of
binary classifiers and the characterizing the relationship among them into a unified objective�…
each different combination of labels that appear in the training set as a different class value
of a single-label classification task. However, because those classes source from multiple
labels, there may be some inherent relationships among them. To tackle this challenge, we
propose a novel model which aims to co-learn binary classifiers, by combining the training of
binary classifiers and the characterizing the relationship among them into a unified objective�…
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