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To this end, we compared the effects of two different schemes of motor training of fine finger movements of the right hand, one based on training of goal-directed motor actions, and the other one based on the execution of non purposeful actions.
As a consequence, we also assessed whether the use of different schemes of motor training (one based on training of transitive, object-related and goal-directed motor sequences, and the other on training of intransitive non purposeful motor actions) was associated to different patterns of GM structural modifications.
Figure 18 Prediction of mobile traffic data load for subsequent week based on training of traffic data rate for current week.
The least number of calls dropped were achieved when the prediction was based on training of traffic load from the previous week.
Figures 9, 10, 11, 12, and 13 show the results for the prediction for the subsequent half-year's data traffic load based on training of data traffic load of the first half of the year (Experiment A2).
A more fundamental issue is that a prediction model is developed, based on training of the available dataset, to predict new sample(s), classifying new patients as high or low risk based on the available data.
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A spectral graph theoretic regularization is applied to transform the feature space based on training examples of extremely different images to calibrate the quantification.
The various localization methods apply different supervised classification approaches (e.g. artificial neural networks, nearest neighbor, SVM, etc). to predict protein subcellular localization based on training data of experimentally determined protein localization.
Supervised learning is a type of machine learning based on training data, which consists of pairs of input objects, and desired outputs.
The second algorithm is based on training a set of simple architecture multilayer neural networks.
The ENN technique is based on training a number of neural network (NN) models with statistical parameters from PD patterns and combining their predictions.
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