Enhancing multi-label classification by modeling dependencies among labels
Enhance multi-label classification by modeling dependencies among labels using BN. Our approach can deal with both complete and incomplete labels. Relations modeled by our approach are more flexible than current direct methods.
multi-label classification bayesian network structure learning incomplete label assignments maximum likelihood estimation