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• W2772065891 abstract "In order to eliminate irrelevant features for classification, we propose a novel feature selection algorithm called Large Margin Distribution Machine Recursive Feature Elimination (LDM-RFE). LDM-RFE uses the latest support vector based classification algorithm Large Margin Distribution Machine (LDM) to evaluate all the features of samples, and then generates a ranked feature list during the procedure of Recursive Feature Elimination (RFE). In the experiment section, we report promising results obtained by LDM-RFE in comparison with several common feature selection algorithms on five UCI benchmark datasets." @default.
• W2772065891 created "2017-12-22" @default.
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• W2772065891 date "2017-11-01" @default.
• W2772065891 modified "2023-09-24" @default.
• W2772065891 title "Large margin distribution machine recursive feature elimination" @default.
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• W2772065891 doi "https://doi.org/10.1109/icsai.2017.8248525" @default.
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