<p>Training gain for each predictor variable alone (black) and the loss in training gain when the variable is removed from the full model (gray).</p
<p>Comparison of the training effects produced in the experimental groups for CSA values.</p
<p>We set a maximum of ten epochs since a prolongation to more training epochs yields no gain in per...
Dataset that is used for training the model. Comprises all the variables used in the model and also ...
<p>Gray bars indicate how well the model performs with only that variable, versus a full model. Valu...
The positioning loss, confidence loss and classification loss data obtained from the experimental tr...
Training and testing curves of proposed model for, (a) Accuracy, and (b) Loss.</p
A blue and an orange dot lines represent losses of training and validation set before optimization, ...
<p>This dataset was used to create the predictive model applied to all other datasets.</p
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
Probabilistic graphical models associate a probability to each configuration of the relevant variab...
(a) Model without image enhancement and transfer learning; (b) Model without image enhancement, but ...
Loss over epochs for three models, each trained with LFP data from a separate rat. An epoch denotes ...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>A Statistical model comparison in training the models when P = 105 and Q = 27.</p
<p>Analysis of effects of different similarity measures when the model is trained only on the mentio...
<p>Comparison of the training effects produced in the experimental groups for CSA values.</p
<p>We set a maximum of ten epochs since a prolongation to more training epochs yields no gain in per...
Dataset that is used for training the model. Comprises all the variables used in the model and also ...
<p>Gray bars indicate how well the model performs with only that variable, versus a full model. Valu...
The positioning loss, confidence loss and classification loss data obtained from the experimental tr...
Training and testing curves of proposed model for, (a) Accuracy, and (b) Loss.</p
A blue and an orange dot lines represent losses of training and validation set before optimization, ...
<p>This dataset was used to create the predictive model applied to all other datasets.</p
<p>For each species, the table shows the area under the curve (AUC) and regularized training gain (G...
Probabilistic graphical models associate a probability to each configuration of the relevant variab...
(a) Model without image enhancement and transfer learning; (b) Model without image enhancement, but ...
Loss over epochs for three models, each trained with LFP data from a separate rat. An epoch denotes ...
<p>Comparison of the prediction results of different basic classifiers by using varied numbers of su...
<p>A Statistical model comparison in training the models when P = 105 and Q = 27.</p
<p>Analysis of effects of different similarity measures when the model is trained only on the mentio...
<p>Comparison of the training effects produced in the experimental groups for CSA values.</p
<p>We set a maximum of ten epochs since a prolongation to more training epochs yields no gain in per...
Dataset that is used for training the model. Comprises all the variables used in the model and also ...