Improving Multi-Label Classification by Means of Cross-Ontology Association Rules

Recently several methods were proposed for the improvement of multi-label classification performance by using constraints on labels. Such constraints are based on dependencies between classes often present in multi-label data and can be mined as association rules from training data. The rules are then applied in a post-processing step to correct the… CONTINUE READING