Sentence examples for minimal errors of from inspiring English sources

Exact(1)

The feasibility of the SCIP-S for routine clinical practice was supported by minimal errors of implementation or scoring committed by psychiatrists after a relatively brief one hour training session, a brief administration time of approximately 15 minutes per patient, and the minimal instrument requirements (paper, pencil, and clock).

Similar(59)

The measurement results showed that the designed node met the requirements for synchronous data acquisition where a minimal error of 60 ns is reached.

First, the contours of the shapes do not need to be extracted; second, the new descriptor is robust to affine transformation and noise; third, it is simple with low computational complexity; finally, it guarantees high shape matching accuracy by voting for all candidate correspondences with minimal error of R-histogram matching.

For the adult, the minimal error of 19% corresponds to 27, 31 and 17% for HbO, HbR and HbT, respectively.

If there are any lines left, select line with the minimal error of fit (normalized by the number of data points used); otherwise select line (from the original list) that covers the maximal range of bump speeds.

The choice of a high NFOC value may ensure minimal error for most cases of applications; however, this also leads to increased number of calculations required for CS reconstruction.

The combined flows of WWTPs with flow rates less than 3.8 MLD accounted for only <6% of the total flow of all WWTPs nationwide, and hence, their elimination from the survey is expected to introduce only minimal error to the nationwide representativeness of the samples.

According to the optimal principle of unbiased estimation and minimal error variance of co-kriging, if the variogram of spatial and regional residuals is precisely captured, error variance of spatial residual will decrease substantially and in turn R will increase [ 29].

We also add an extra refinement to the choice of the best combination of attributes by choosing the (minimal error) combination of attributes that leads to the highest values of the nonadditive set functions.

The minimal errors indicate the accuracy of developed formulas.

However, when using models with fine-scale spatial resolution to estimate exposure to pollutants with high spatial variation, minimal errors in geographical coordinates of home addresses may lead to large differences in exposure estimates, and consequently to biased risk estimates.

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