<p>Each subfigure corresponds to one case of labeled examples. (A) MA obtained using 10% labeled examples. (B) MA obtained using 20% labeled examples. (C) MA obtained using 30% labeled examples. (D) MA obtained using 40% labeled examples. (E) MA obtained using 50% labeled examples.</p
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Mean accuracy across training sessions 1 through 5-camouflage training groups as a function of ta...
Relative errors are calculated for all experiments and expressed as percentages. A value of 100 mean...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
Train and test accuracy for selected classifiers for different projection methods.</p
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
<p>Mean accuracy across pre and post –training on untrained non-camouflage test displays for the cam...
<p>Mean accuracy across pre and post –training on untrained camouflage test displays for the camoufl...
<p>Mean test accuracy obtained for the 66 training and test runs generated, for each training durati...
<p>Results are showed on simple and complex traits through the 10 replicates of the simulation. Figu...
Boxplot of 6 fold (5 fold for 4 subjects) out-of-sample classification accuracies from real data of ...
<p>Mean accuracy across training session 5 and post –training on untrained camouflage test displays ...
<p>(a) Training samples = 60, testing samples = 210, number of features = 4. (b) Training samples = ...
<p>Upper panels: speed group, lower panels: accuracy group. Left panels: feature negative stimuli an...
The run names are indicated on the x-axis of the last row. Panels a), b) and c) correspond to Cat. I...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Mean accuracy across training sessions 1 through 5-camouflage training groups as a function of ta...
Relative errors are calculated for all experiments and expressed as percentages. A value of 100 mean...
<p>Mean classification accuracy across participants (and standard error) as a function of number of ...
Train and test accuracy for selected classifiers for different projection methods.</p
Average influence of ratio of training samples on accuracy with INysCK and MINysCK and corresponding...
<p>Mean accuracy across pre and post –training on untrained non-camouflage test displays for the cam...
<p>Mean accuracy across pre and post –training on untrained camouflage test displays for the camoufl...
<p>Mean test accuracy obtained for the 66 training and test runs generated, for each training durati...
<p>Results are showed on simple and complex traits through the 10 replicates of the simulation. Figu...
Boxplot of 6 fold (5 fold for 4 subjects) out-of-sample classification accuracies from real data of ...
<p>Mean accuracy across training session 5 and post –training on untrained camouflage test displays ...
<p>(a) Training samples = 60, testing samples = 210, number of features = 4. (b) Training samples = ...
<p>Upper panels: speed group, lower panels: accuracy group. Left panels: feature negative stimuli an...
The run names are indicated on the x-axis of the last row. Panels a), b) and c) correspond to Cat. I...
(a) and (b) show the box plot of the five-class classification accuracy with RF and SVM, respectivel...
<p>Mean accuracy across training sessions 1 through 5-camouflage training groups as a function of ta...
Relative errors are calculated for all experiments and expressed as percentages. A value of 100 mean...
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