Sentence examples for generated the confidence from inspiring English sources

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But much of the art I saw in Athens not only provided solace, it actually generated the confidence needed in Greece today.

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These coefficients are also used to generate the confidence factors for the inference engine that present the final decision of the entire classifier.

Developing a critical mass within the organisation which can now be leveraged for larger opportunities, generating the confidence to repeat similar structured approaches to address more policy items.

We use 300 repeated samples here to err on the side of caution and because it provides convenient cut-off values when generating the confidence interval, as discussed in step 4. Previous research using this test has used a 95%% confidence interval.

Eighth, a growing ecosystem of non-governmental organizations and government units that are applying information and communication technologies to local systems and generating the confidence that economic development can arise with the innovative use of such technologies in urban areas.

One difference though is that in ABC the precision has to be set, whereas here we use the quantiles of the real data to generate the confidence intervals for our estimated data.

To generate the confidences of a random submission, a uniform random number r (0 ≤ r ≤ 1) was generated for each 'item'item

And take Andreas Whittam Smith, founding editor of The Independent: would he have generated the necessary confidence to launch his bold capitalist enterprise without his air of episcopal gravitas?

One set of RRs was based on the observed historical data, and two were based on individual bootstrap samples constructed from the observed historical data that generated the 95% confidence interval (CI) of the attributable number (AN) of deaths.

Generally, it is quite complex to generate the likelihood confidence region since many function evaluations have to be performed in the surrounding of the parameter estimates θ ^.

AMIGO_RIdent performs a robust analysis using a Monte Carlo-based approach to generate the robust confidence hyperellipsoid and to provide relevant information regarding correlation of the parameters and robust confidence intervals.

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