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In this paper, the principle of the kernel extreme learning machine (ELM) is analyzed. Based on that, we introduce a kind of multi-scale wavelet kernel extreme learning machine classifier and apply it to electroencephalographic (EEG) signal feature classification. Experiments show that our classifier achieves excellent performance.
OBJECTIVES To compare the effectiveness and safety of posterior-substituting (PS) with cruciate-retaining (CR) total knee prostheses after the elimination of confounding variables. METHODS Between January 2008 and June 2012, a total of 32 subjects who had bilateral arthritis of the knees agreed to have one knee replaced with a PS total knee design and the… (More)