Publication: Classification of EEG Signals by using Support Vector Machines
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IEEE
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Abstract
In this work, EEG signals were classified by support vector machines to detect whether a subject's planning to perform a task or not. Various different kernels were utilized to find the best kernel function and after that, a feature selection process was realized. The results are comparable to the recent works.
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2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA)
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978-1-4799-0661-1; 978-1-4799-0659-8