Searching for Multi Sphere Support Vector Data Description For Brain Computer Interface information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/261306830_Multi-sphere_support_vector_data_description_for_brain-computer_interface
Support vector data description (SVDD) has been widely used in pattern classification, however it does not provide high performance in brain-computer interface (BCI) classification problems since...
https://www.academia.edu/11284848/Multi-sphere_support_vector_data_description_for_brain-computer_interface
Multi-sphere support vector data description for brain-computer interface
http://www.canberra.edu.au/researchrepository/items/9c40569d-0f6a-df00-f487-7fc1fa70a740/1/
Multi-sphere support vector data description for brain-computer interface Authors(s) Nguyen, Phuoc Tran, Dat Le, Trung Hoang, Tuan Sharma, Dharmendra
http://core.ac.uk/display/30346820
Multi-sphere support vector data description for brain-computer interface
https://www.researchgate.net/publication/221140354_Generalised_Support_Vector_Machine_for_Brain-Computer_Interface
Support vector data description (SVDD) has been widely used in pattern classification, however it does not provide high performance in brain-computer interface (BCI) classification problems since ...
https://www.researchgate.net/publication/221497738_Gaps_in_Support_Vector_Optimization
Gaps in Support Vector Optimization ... vector data description for brain-computer interface. ... in SVDD could not well describe the data. We propose in this paper a multi-sphere approach ...
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006315920
Support vector data description (SVDD) has been widely used in pattern classification, however it does not provide high performance in brain-computer interface (BCI) classification problems since brain signals are noisy and chaotic. Brain data have distinct distributions and hence a hyper-sphere in SVDD could not well describe the data.
https://link.springer.com/chapter/10.1007/978-3-642-24955-6_82
Support vector machine (SVM) and support vector data description (SVDD) are the well-known kernel-based methods for pattern classification. SVM constructs an optimal hyperplane whereas SVDD... Generalised Support Vector Machine for Brain-Computer Interface SpringerLinkCited by: 2
http://doc.ml.tu-berlin.de/bbci/publications/MueKraDorCurBla04.pdf
MACHINE LEARNING TECHNIQUES FOR BRAIN-COMPUTER INTERFACES K.-R. Müller1,2, M. Krauledat1,2, G. Dornhege1, G. Curio3, ... the challenge that only few data samples are available for ... Linear Support Vector Machines (SVMs)
https://www.researchgate.net/publication/262236448_Deterministic_Annealing_Multi-Sphere_Support_Vector_Data_Description
In this paper, we introduce a Deterministic Annealing Multi-sphere Support Vector Data Description (DAMS-SVDD) approach to address this issue. We propose to use a set of hyperspheres to provide a ...
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