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Our latrines are purchased by families and built by trained local masons and suppliers who can provide maintenance and care long after we're gone.
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A classification model using the restrained set of 71 MOE descriptors was built by training a simple set of rules (Jrip algorithm in Weka) with embedded attribute selection.
The startup initially pitched its product as a cheaper and more efficient "green screen" technology, to remove primary images from their plain (typically green) or standard-pattern backgrounds, with an early iteration of the product built by training the system on over 100,000 professional cutouts.
GeneMark models were built by training the GeneMark tool using the F. vesca genome version1.1.
The tree model (Fig. 1) was built by training binary SVM classifiers; each of those was trained on different sets of proteins.
BalestraWeb is built by training a latent factor model, as described in our previous work (Cobanoglu et al., 2013), on approved drugs and their interactions data from DrugBank v3 (Knox et al., 2011).
One of the drawbacks is that it is hard to understand the reasoning behind (Q SAR model predictions: commonly (Q SARs are built by training machine learning algorithms and therefore often resemble black boxes.
The rise of the Web site Politico — built by people trained and nurtured at The Washington Post — and other insurgents foretold a change in the order of things.
It leverages its own experience, built up by training machine-learning algorithms with data on hundreds of thousands of drug-like molecules.
At times, the schedule I got from Pete Pfitzinger's Advanced Marathoning book felt like overkill – but on an unexpectedly hot day last weekend I needed every bit of strength and stamina built by his training plan, and I'm thankful I didn't cut too many corners.
Therefore, after calculating the distances of all pairs to the origin, we are not only able to build classifiers by training a specific threshold of the distances when testing the performance of our proposed method (refer to Sections 3.1 and 3.2) but are also able to adopt them as the confidence scores of being potential interactions when predicting potential interactions for unapproved DTPs.
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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