As we know, Markov blanket (MB) is a key concept in Bayesian network, which can be used to represent the local causal structure of a variable and the selected optimal features for multi-label feature selection. To select casual features for multi-label learning, in this paper, Parents and ...
When proposing multi-label classification methods for students’ learning-style detection, more sophisticated practical cases were also taken into account: classifier chains [19] and other methods for correlating labels, asymmetric Shapley values for incorporating causal knowledge into model explainability, ...