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Improvement of the Classification Accuracy of Steady-State Visual Evoked Potential-Based Brain-Computer Interfaces by Combining L1-MCCA with SVM 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 23, 页码: 13
作者:  Gao, Yuhang;  Si, Juanning;  Wu, Sijin;  Li, Weixian;  Liu, Hao;  Chen, Jianhu;  He, Qing;  Zhang, Yujin
收藏  |  浏览/下载：228/0  |  提交时间：2022/02/16
steady-state visual evoked potential (SSVEP)  brain-computer interface (BCI)  l1-regularized multiway canonical correlation analysis (L1-MCCA)  support vector machine (SVM)  particle swarm optimization (PSO)  
Supervised learning for parameterized Koopmans-Beckmann's graph matching 期刊论文
PATTERN RECOGNITION LETTERS, 2021, 卷号: 143, 页码: 8-13
作者:  Zeng, Shaofeng;  Liu, Zhiyong;  Yang, Xu
收藏  |  浏览/下载：174/0  |  提交时间：2021/03/29
Graph matching  Koopmans-Beckmann  Supervised learning  Structured SVM  
Target Detection Using Ternary Classification During a Rapid Serial Visual Presentation Task Using Magnetoencephalography Data 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13
作者:  Zhang, Chuncheng;  Qiu, Shuang;  Wang, Shengpei;  He, Huiguang
收藏  |  浏览/下载：171/0  |  提交时间：2021/04/27
RSVP  ERP  MEG  CNN  SVM  
Sample-based online learning for bi-regular hinge loss 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2021, 页码: 16
作者:  Xue, Wei;  Zhong, Ping;  Zhang, Wensheng;  Yu, Gaohang;  Chen, Yebin
收藏  |  浏览/下载：163/0  |  提交时间：2021/03/08
SVM  Max-margin classification  Hinge loss  Elastic net  Online learning