Reverse Multi-Label Learning
Multi-label classification is the task of predicting potentially multiple labels for a given instance. This is common in several applications such as image annotation, document classification and gene function prediction. In this paper we present a formulation for this problem based on reverse prediction: we predict sets of instances given the labels. By viewing the problem from this perspective, the most popular quality measures for assessing the performance of multi-label classification admit...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the International Conference on Neural Information Processing (ICONIP 2010)|
|01_Petterson_Reverse_Multi-Label_Le_2010.pdf||227.46 kB||Adobe PDF||Request a copy|
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