Sentence examples for minimal error and from inspiring English sources

The numerical model captures the experimentally obtained results with minimal error, and predicts the failure modes successfully.

Using InSAR, we can map linear surface ruptures throughout the image with minimal error and analyze the direction and amount of each displacement.

Sex contributed minimal error and therefore we disregarded it in estimates.

We study minimal errors and optimal designs for weighted L2-approximation and weighted integration of Gaussian stochastic processes X defined on the half-line [0,∞).

However, most designers and engineers do not know how to convert old anthropometric data into applicable new data with minimal errors and costs (Wang et al., 1999).

The received signals at wireless nodes are decoded and then forwarded to ensure minimal errors and maximal robustness at the receiving site.

Unlike other DL algorithms based on SVM, in each layer, Ex-Adaboost is applied to not only select SVMs with the minimal error rate and the highest diversity, but also to produce the weight for each feature.

We made it simple to execute randomisation as the clinician took the next pack off the shelf that contained pre-randomised advice sheets (that is, there was no requirement (hence minimal error) in finding and using the correct advice sheets).

The program indicated a base of 480 patients for the 5% (α = 0.05) minimal error type I and a 20% probability error type II to estimate the OR value = 3, mortality incidence about 5% when comparing patients with the 0 to 0.5 creatinine change in relation to decreased -0.3 to 0 values, according to Lassnigg[ 5].

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].

The difference between this baseline and the minimal error rates A, B, C, D, and E can be interpreted as the bias induced by optimal selection.