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A comparison of classification algorithms for Event Related Potentials
Conference proceeding

A comparison of classification algorithms for Event Related Potentials

Abdulmajeed Alsufyani and IEEE
2017 4TH INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS AND INFORMATION PROCESSING TECHNOLOGY (CAIPT)
International Conference on Computer Applications and Information Processing Technology CAIPT
01/01/2017

Abstract

Computer Science Computer Science, Information Systems Computer Science, Software Engineering Computer Science, Theory & Methods Science & Technology Technology
We compare six methods for classifying low signal-to-noise Event Related Potential (ERP) data into deceiving and nondeceiving. Three methods perform poorly: Correlation Coefficient (CD), Support Vector Machine with linear Kernel (LSVM) and SVM with radial basis kernel (RBSVM), while another, Amplitude Difference (AD), performs satisfactorily. However, a simple by-individual weight template method performs better still.

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