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Open image in new window Fig. 3 Pearson correlations found during the training step.
a l and b are the SVM parameters set during the training step.
The performance of a learning model is measured by its capacity to generalize to flows that were not known during the training step.
The y- and x-axes show the position indices (in percent of the intracranial width) while the colours show the correlations found during the training step with the fully delineated intracranial volumes.
It has been found that to be able to remain a classification accuracy of at least 90%, the tolerated perturbation of the activation energy should not exceed, in absolute value, 3% of that used during the training step of the neural networks.
where t i is an ideal output (either +1 or −1, depending on whether the corresponding support vector is a positive or negative example of a given class), and α i and d are the SVM parameters set during the training step.
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We did not use the subject's pre-recorded voice for the
New measurements and the ML model established during training step are used to derive a zone in which the CSP is estimated to be located.
In the current work, we used expectation maximisation (EM) algorithm during HMM parameter training step.
During training step the minimum value of RTT is not observed, while it is during verification step, resulting in a short predicted distance.
Two parameters are crucial for the performance of the classifier, the soft-margin penalty (C) and the radius : C represents the amount of errors allowed during the training and evaluation steps, while γ represents the width of the SVM radial function.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com