Semi-Supervised Learning Based on Manifold in BCI

摘要

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.