Transductive SVM for reducing the training effort in BCI.

@article{Liao2007TransductiveSF,
  title={Transductive SVM for reducing the training effort in BCI.},
  author={Xiang Liao and Dezhong Yao and Chaoyi Li},
  journal={Journal of neural engineering},
  year={2007},
  volume={4 3},
  pages={246-54}
}
A brain-computer interface (BCI) provides a communication channel that translates human intention reflected by a brain signal such as electroencephalogram (EEG) into a control signal for an output device. In this work, the main concern is to reduce the training effort for BCI, which is often tedious and time consuming. Here we introduce a transductive support vector machines (TSVM) algorithm for the classification of EEG signals associated with mental tasks. TSVM possess the property of using… CONTINUE READING
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