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[1]
Advances in Neural Information Processing Systems. Zhang L,Amari S,Cichocki A. MITPress . 2000
Semi-Supervised Learning Based on Manifold in BCI
被引：3
作者：
Ji-Ying Zhong
机构：
基金：
中国国家自然科学基金;
关键词：
Brain-computer interface;
manifold learning;
semi-supervised learning;
support vector machine;
D O I：
暂无
中图分类号：
TP181 [自动推理、机器学习];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
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.
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页码：22 / 26
页数：5
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