2020
A Novel Pruning Approach for Bagging Ensemble Regression Based on Sparse Representation
ICASSP 2020accepted
This work aims to propose an approach for pruning a bagging ensemble regression (BER) model based on sparse representation, which we call sparse representation pruning (SRP). Firstly, a BER model with a specific number of subensembles should be trained. Then, the BER model is pruned by our sparse re…