In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
As the enabling technologies of autonomic computing continue to advance, it is imperative for researchers to exchange the details of their proposed techniques for designing, devel...
Tariq M. King, Alain E. Ramirez, Peter J. Clarke, ...
In the cases of paralysis so severe that a person's ability to control movement is limited to the muscles around the eyes, eye movements or blinks are the only way for the per...
John J. Magee, Margrit Betke, James Gips, M. R. Sc...
Moving a brain-computer interface from a laboratory demonstration to real-life applications poses severe challenges to the BCI community. Recently, with advances in the biomedical ...