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Semi-Supervised Learning Based on Manifold in BCIOA

Semi-Supervised Learning Based on Manifold in BCI

中文摘要英文摘要

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 comple…查看全部>>

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 h…查看全部>>

Ji-Ying Zhong;Xu Lei;De-Zhong Yao

Key Laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,ChinaKey Laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,ChinaKey Laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,China

电子信息工程

Brain-computer interfacemanifold learningsemi-supervised learningsupport vector machine

Brain-computer interfacemanifold learningsemi-supervised learningsupport vector machine

《中国电子科技》 2009 (1)

生物医学信号处理

22-26,5

This work was supported by the National Natural Science Foundation of China under Grant No.30525030, 60701015, and 60736029.

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