Large Margin Distribution Machine Recursive Feature Elimination

Ge Ou, Yan Wang, Wei Pang, George MacLeod Coghill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)


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.
Original languageEnglish
Title of host publication2017 4th International Conference on Systems and Informatics (ICSAI)
Number of pages6
ISBN (Electronic)9781538611074
Publication statusPublished - 8 Jan 2018


  • large margin distribution machine
  • recursive feature elimination
  • classification


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