Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Yesilkaynak, V. Bugra"'
Existing multi-label frameworks only exploit the information deduced from the bipartition of the labels into a positive and negative set. Therefore, they do not benefit from the ranking order between positive labels, which is the concept we introduce
Externí odkaz:
http://arxiv.org/abs/2303.03907
Multi-label ranking maps instances to a ranked set of predicted labels from multiple possible classes. The ranking approach for multi-label learning problems received attention for its success in multi-label classification, with one of the well-known
Externí odkaz:
http://arxiv.org/abs/2212.04022