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Improving Generalization Based on l(1)-Norm Regularization for EEG-Based Motor Imagery Classification
Multichannel electroencephalography (EEG) is widely used in typical brain-computer interface (BCI) systems. In general, a number of parameters are essential for a EEG classification algorithm due to redundant features involved in EEG signals. However, the generalization of the EEG method is often ad...
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| 發表在: | Front Neurosci |
|---|---|
| Main Authors: | , , , , , , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Frontiers Media S.A.
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5954047/ https://ncbi.nlm.nih.gov/pubmed/29867307 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00272 |
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