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A Semi-supervised SVM Learning Algorithm for Joint Feature Extraction and Classification in Brain Computer Interfaces

机译:半监督SVM学习算法在脑计算机接口中的联合特征提取和分类

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In machine learning based Brain Computer Interfaces (BCIs), it is a challenge to use only a small amount of labelled data to build a classifier for a specific subject. This challenge was specifically addressed in BCI Competition 2005 [3]. Moreover, an eff
机译:在基于机器学习的脑计算机接口(BCI)中,仅使用少量标记数据为特定主题建立分类器是一个挑战。 2005年BCI竞赛[3]专门解决了这一挑战。而且,效果

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