Semi-Supervised Learning Based on Manifold in BCI |
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| Authors: | Ji-Ying Zhong Xu Lei De-Zhong Yao |
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| Institution: | Key Laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,China |
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| Abstract: | A Laplacian support vector machine (LapSVM) algorithm,a semi-supervised learning based on manifold,is introduced to brain-computer interface (BCI) to raise the classification precision and reduce the subjects' training complexity.The data are collected from three subjects in a three-task mental imagery experiment.LapSVM and transductive SVM (TSVM) are trained with a few labeled samples and a large number of unlabeled samples.The results confirm that LapSVM has a much better classification than TSVM. |
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| Keywords: | Brain-computer interface manifold learning semi-supervised learning support vector machine |
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