Robust Feature Selection With LSTM Recurrent Neural Networks for Artificial Immune Recognition System
Stability and robustness of feature selection techniques have great importance in the high dimensional and small sample data. The neglected subject in the feature selection is solving the instability problem. Therefore, an ensemble gene selection framework is used in order to provide stable and accu...
Main Authors: | Canan Batur Sahin, Banu Diri |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8643922/ |
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