Sentence examples similar to machine stance from inspiring English sources

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Addressing a crowd at the University of South Florida, he mimicked the backscatter-machine stance (arms up in the air, legs apart) and asked "Is this the pose of a free man?" Outside the Paul family, I doubt many Americans subscribe to the idea that airport security lies on the road to serfdom.

Longer shock absorbers at the rear and a shortened front fork leveled the machine's stance, and rear-set footpegs and clip-on handlebars completed the makeover.

We compare the performance of our machine learning stance classifier to a hashtag-based classifier proposed in Khatua et al. [17].

It was trains and machines," says Allen, whose stance onstage was physically almost frozen.

The most stylish of these strange machines feature an aggressive stance, with two beefy wheels set at the front and a teardrop-shaped body that trails sleekly to a single rear wheel.

Based on the position reverse solution model and according to matrix complete differential-coefficient theory, the relationship between the original machine error and the probe position stance error is deducted, and the error model is built.

But analysts speculated that the company had been unable to persuade an outsider to take the job as British regulators adopt a stricter stance on slot machines and horse racing and as Internet gambling also faces increased scrutiny.

Supported by the money of gun manufacturers, it has created a machine whereby politicians must take stances on gun control that are more extreme than most of their voters believe, because otherwise they will be punished with attack adverts.But the NRA is not the voice of most gun owners.

Open image in new window Fig. 4 Pelvis loaded into the MTS machine using the single-limb-stance model.

Last week, at a Senate hearing about voting, Mr. Martinez called for an industrywide stance preventing all voting machine company executives from endorsing, assisting or contributing to candidates, political parties or political organizations.

First, we construct a stance classification model by machine learning methods, and are then able to predict the stance of about one million UK-based Twitter users.

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