Word-level language modeling for P300 spellers based on discriminative graphical models.
Journal:
Journal of neural engineering
Published Date:
Feb 16, 2015
Abstract
OBJECTIVE: In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers.