Sentence examples for shallow standards from inspiring English sources

CSR is characterized by shallow standards, ineffective monitoring, and a near total absence of enforcement.

The tiled bathroom looked to be of an earlier vintage, with dulled plastic pull-on faucets and a shallow standard-issue tub (though it did have piles of white Frette towels and two snowy robes).

The novel element has a light-weight Y-shaped cross-section with a depth of 1.5 m and a width of 2.5 m with a hollow core positioned at the bottom, which increases the torsional stiffness and resistance with respect to the typical V shape of the shallower standard element of this system (Breccolotti and Materazzi 2015).

Still, Arab civil society remains shallow by world standards.

PRESIDENTIAL BOGEYMEN -- In a speech this month, Mr. Bush hailed his tax cuts as the main reason the 2001 recession was shallow by most standards.

Further, the Buckeyes have no outstanding returning runner, just three good ones, shallow by their standards at the crucial tailback position.

We compare results with those obtained from standard shallow learning methods with predefined features, as well as standard DCNNs.

Coincidentally, the Commerce Department also lowered its measure of corporate profits for 2000 by a whopping 10%.Despite lasting six months longer than originally thought, the 2001 recession was still remarkably mild by historical standards, shallower even than the 1991 recession that cost George Bush senior the election.

In the case of approximations of 1D Lipschitz functions we describe adaptive depth-6 network architectures more efficient than the standard shallow architecture.

Although some of these inconsistencies have not impacted the convergence on some standard shallow water test cases up until now, they may constitute a potential problem for high resolution 3D models.

Supervised layerwise trained DCNNs are found to outperform standard shallow learning models such as Support Vector Machines as well as regular DCNNs of similar architecture by achieving error rate of 9.67% thereby setting a new benchmark on the CMATERdb 3.1.3.3 with recognition accuracy of 90.33%, representing an improvement of nearly 10%.