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The computer built a model from these readings, then ran it through a database of other faces from people who had voluntarily submitted to the imaging.
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Next, the architects build a model from foam core and mat board and sometimes wood, which Ban edits.
The AttribIt software then builds a model from these value judgments that predicts the relative "scariness" of any shape.
There are two ways to build a model: from the top down or from the bottom up.
The aim of the IDTS code developed is to build a model from a combination of elementary systems representing basic ideal flow patterns (perfect mixed flow, plug flow,…).
Given enough horsepower, says a British official, such a system can build a model from as few as 80 pixels located between a subject's eyes and only two images are needed for a 3D reconstruction.Governments are not the only ones interested.
Such algorithms build a model from training data in order to facilitate classification and predictions.
Without a system of checks and balances in place, it's tempting for them to build a model from the ground up rather than look toward an existing AI toolkit that could handle a lot of the scaffolding needed to make headway on a problem.
We have used a probabilistic method, the Parzen-Rosenblatt Window approach, to build a model from the ChEMBL dataset which can predict from a compound's structure both its primary pharmaceutical target and other targets with which it forms off-target, usually weaker, interactions.
Cmsearch of "Infernal" program was then used to build a model from above secondary structure.
Most phasing and imputation algorithms build a model from the entire dataset, then thread each sequence in turn against it to provide a new phasing based effectively on a series of matches.
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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