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  Predictive modeling of human operator cognitive state via sparse and robust support vector machines

Zhang, J.-I., Quin, P.-P., Raisch, J., & Wang, R.-B. (2013). Predictive modeling of human operator cognitive state via sparse and robust support vector machines. Cognitive Neurodynamics, 7(5), 395-407. doi:10.1007/s11571-013-9242-4.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-9DF4-7 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0023-EDE4-1
Genre: Journal Article

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 Creators:
Zhang, Jian-Ihlua1, 2, Author
Quin, Pan-Pan1, Author
Raisch, Jörg3, 4, Author              
Wang, Ru-Bin2, Author
Affiliations:
1East China University of Science and Technology, Department of Automation, Shanghai, China, ou_persistent22              
2East China University of Science and Technology, Institute of Cognitive Neurodynamics, Shanghai, China, ou_persistent22              
3Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738154              
4TU Berlin, ou_persistent22              

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 Dates: 2013
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1007/s11571-013-9242-4
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Title: Cognitive Neurodynamics
Source Genre: Journal
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Pages: - Volume / Issue: 7 (5) Sequence Number: - Start / End Page: 395 - 407 Identifier: -