Arora, Akshay <br/><br/>
Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.  [electronic resource] 

 -  Journal of neural engineering  12 2018 
 - 066028 p.  digital 
<br/><br/> Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. 
<br/><br/><label>ISSN: </label>1741-2552 
<br/><br/><label>Standard No.: </label>10.1088/1741-2552/aae131  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Algorithms<br/>Computer Simulation<br/>Deep Learning<br/>Electrodes, Implanted<br/>Electroencephalography--classification<br/>Humans<br/>Logistic Models<br/>Memory, Episodic<br/>Mental Recall<br/>Predictive Value of Tests<br/>Stochastic Processes<br/>Support Vector Machine<br/>Theta Rhythm