In order to eliminate irrelevant features forclassification, we propose a novel feature selection algorithmcalled Large Margin Distribution Machine Recursive FeatureElimination (LDM-RFE). LDM-RFE uses the latest supportvector based classification algorithm Large Margin DistributionMachine (LDM) to evaluate all the features of samples, and thengenerates a ranked feature list during the procedure of RecursiveFeature Elimination (RFE). In the experiment section, we reportpromising results obtained by LDM-RFE in comparison withseveral common feature selection algorithms on five UCIbenchmark datasets.
- large margin distribution machine
- recursive feature elimination
Ou, G., Wang, Y., Pang, W., & Coghill, G. M. (2018). Large Margin Distribution Machine Recursive Feature Elimination. In 2017 4th International Conference on Systems and Informatics (ICSAI) (pp. 1518-1523). IEEE. https://doi.org/10.1109/ICSAI.2017.8248525