Sentence examples for soft search from inspiring English sources

Exact(3)

You can get a "soft" search which doesn't show on your record.

Giles Andrews, CEO of Zopa, says borrowers are subject to a "soft search" when they apply for a loan, which won't leave a footprint on their credit file.

While a complete "soft search" of the affected areas is expected to be completed by late Friday, Waters acknowledged that more bodies could be found.

Similar(57)

Hot dog and other food vendors will be barred, as they will along the parade route, and officers will conduct what are called soft searches, in which they carefully scrutinize people in an effort to spot anything suspicious that might warrant further investigation.

Each time you apply for insurance, regardless of how you pay for your policy, your insurer is likely to soft-search your credit record.

For their third album, V.U.'s frontman, Lou Reed, had written exquisite songs—"Pale Blue Eyes," "Jesus," and "Candy Says," which Yule was given to sing in which the paranoia that marked his earlier ballads, like "Sunday Morning," had given way to something softer, more searching and spiritual.

For their third album, V.U.'s frontman, Lou Reed, had written exquisite songs — "Pale Blue Eyes," "Jesus," and "Candy Says," which Yule was given to sing — in which the paranoia that marked his earlier ballads, like "Sunday Morning," had given way to something softer, more searching and spiritual.

"Sometimes it is enough just to hear part of a story for me to imagine the rest — the rustle of dry leaves in the hedgerow as a small animal scuttles back to its burrow; a bird turning over the soft earth in search of a juicy worm".

The approach consists of "soft" obligations to search for a job and attend training, or of "hard" requirements to participate in public works or community work.

The use of emerging soft computing random search techniques such as particle swarm optimization (PSO) and genetic algorithm (GA) is also gaining acceptance as effective tools in dynamic on line tuning, self-regulating, and adjustment of controller to ensure that specific objective functions are optimized.

To improve predictive power and preserve cell-type specificity, we use prior information as soft restraints on search space through use of a probabilistic error model of priors, that is, the algorithm rejects interactions that do not conform to the experimental training data and predicts novel interactions not sampled in the priors (see Equations 2– 7).

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