EEG signal classification - Globe Thesis

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1.	Kernels For Feature Extraction And Research On Nonlinear Multiple Kernel Learning
2.	Automatic EEG Signal Classification Based On Machine Learning
3.	L1-Norm Minimization Algorithms And Applications
4.	Improved Extreme Learning Machine For Indentification And Classification Research
5.	EEG Signal Classification Based On Extreme Learning Machine Algorithm
6.	Convolutional Neural Networks Based On Large-Margin Softmax Loss Function With Their Application To EEG Signal Classification
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