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Unfortunately, we found more than one single minimum with their method on our data.
We tested this method on our SNAMP Lidar data.
And we settled the question of whether waterboarding is torture when we prosecuted Japanese officers for using this enhanced interrogation method on our soldiers during World War II.
We validate the effectiveness of the method on our constructed sentiment dataset.
The PLE model (with D∞≠0) gives the most conservative EUR estimation, and also the least reliable history matching method (on our Eagle Ford data sets), which therefore is the least preferable DCA method.
We apply blended relative valuation method on our lowered 2019E revenue and EBITDA.
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The results indicate that this CNN-based classifier outperforms than k Nearest Neighbor (kNN) and Support Vector Machine (SVM) methods on our data set with a higher accuracy.
To avoid the overfitting, we applied several feature selection methods on our dataset.
The ROC curves in Figure 4a illustrate the performance of different target prediction methods on our test set.
Using these methods on our example data set, gives a corrected sensitivity of 57% (67/117) and specificity is 91% (350/383).
For this reason, we implemented several normalization methods on our proprietary datasets, while using the available normalized data for the publicly available datasets.
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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