Ensemble–based instance selection for multi–target regression using kernel sparse modeling
This paper proposes a novel instance selection (IS) method for multi-target regression (MTR). The proposed method introduces Sparse Modeling Representative Selection (SMRS) to characterize the self-representativeness of instances, where a block-sparse coefficient matrix is learned to identify representative training sa...