<p>Time is on the horizontal axis, while the lines represent users. The order of the users equals that of <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0102504#pone-0102504-g004" target="_blank">Fig. 4</a>, with represented by the top line and by the bottom line. For each trial and user, a green square indicates an accurate selection, a black one marks an error. Clearly, the unsupervised classifier commits most erroneous decisions shortly after its random initialization at the beginning of each novel block. In the majority of cases users were able to effectively control the BCI by the end of a block.</p
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how wit...
<p>Average proportion of correct choices (estimated for the mean choice latency) over a block for be...
<p>The data was split into non-overlapping 50 ms time bins that were used to train and test the clas...
<p>The data displayed stems from the same blocks as in <a href="http://www.plosone.org/article/info:...
<p>Per block, the top line represents the desired text, the middle line displays text produced onlin...
<p>For each user and the grand average (GA), the performances of three experimental blocks are given...
<p>The feedback accuracy is denoted for the 100 trials of each run. The initial three runs, here mar...
<p><b>A</b> Scheme explaining the selection of trials, considering the type of error and saccade dir...
In reinforcement learning, an agent makes sequential decisions to maximize reward. During learning, ...
<p>(A) The dataset was divided into three parts of equal length: training, validation and testing. T...
Classifier systems are highly parallel, rule-based learning systems which are designed to continuous...
© 2018, Psychonomic Society, Inc. Learning difficulty orderings for categorical stimuli have long pr...
OBJECTIVE:Using traditional approaches, a brain-computer interface (BCI) requires the collection of ...
The online usage of brain-computer interfaces (BCI) generates unlabeled data. This data in combinati...
<p>An iteration consisted of a different combination of 10 participants out of 20 for each the train...
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how wit...
<p>Average proportion of correct choices (estimated for the mean choice latency) over a block for be...
<p>The data was split into non-overlapping 50 ms time bins that were used to train and test the clas...
<p>The data displayed stems from the same blocks as in <a href="http://www.plosone.org/article/info:...
<p>Per block, the top line represents the desired text, the middle line displays text produced onlin...
<p>For each user and the grand average (GA), the performances of three experimental blocks are given...
<p>The feedback accuracy is denoted for the 100 trials of each run. The initial three runs, here mar...
<p><b>A</b> Scheme explaining the selection of trials, considering the type of error and saccade dir...
In reinforcement learning, an agent makes sequential decisions to maximize reward. During learning, ...
<p>(A) The dataset was divided into three parts of equal length: training, validation and testing. T...
Classifier systems are highly parallel, rule-based learning systems which are designed to continuous...
© 2018, Psychonomic Society, Inc. Learning difficulty orderings for categorical stimuli have long pr...
OBJECTIVE:Using traditional approaches, a brain-computer interface (BCI) requires the collection of ...
The online usage of brain-computer interfaces (BCI) generates unlabeled data. This data in combinati...
<p>An iteration consisted of a different combination of 10 participants out of 20 for each the train...
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how wit...
<p>Average proportion of correct choices (estimated for the mean choice latency) over a block for be...
<p>The data was split into non-overlapping 50 ms time bins that were used to train and test the clas...