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Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints
The results confirm that proposed Feature Selection Based on Sparse Neural Network Layer with Normalizing Constraints (SNEL-FS) is able to select the important features and yields superior performance compared to other conventional FS methods.
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