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Viewers get a glimpse of his working methods, the simple tools and the genial chaos around him.
To quantitatively assess the relative performance of TEMPI, we applied the two methods, the simple method (Hwang et al., 2009) and PNA (Kim et al., 2011) described in Section 1, to the synthetic data and identified TDNs as follows.
Using this stopping condition on the dataset DS l with empirically tuned general steps (e.g for the contact parameters: = 10-5 and for the solvent accessibility parameters: = 10-4), we compare three different gradient descent methods (described in Methods): the simple gradient descent, the inertial gradient descent, and the controlled inertial gradient descent.
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Among these methods, the simpler WS method had best median ROC score.
In the SAW method, the simple indicators are normalised using inverse min max function shown in Eq. 6.
Of the methods investigated, the simple ITC method has the largest mean squared error (MSE).
If the budget is three, the Hybrid method improves the Simple method by 16.7%%.
If the budget is two, the Hybrid method improves the Simple method by 40.7%%.
These methods are the simplest methods of PSD estimation, and thus are proposed for PSD estimation in CR [7].
There are many diverse MCA methods from the simplest method weighted sums to more complex or even hybrid approaches.
Studies comparing the performance of such methods to the simpler univariate methods are needed.
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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