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Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification
Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve this problem, a multiclass posterior probability s...
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| Yayımlandı: | Comput Intell Neurosci |
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| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Hindawi Publishing Corporation
2015
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4700159/ https://ncbi.nlm.nih.gov/pubmed/26798330 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/251945 |
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