Sentence examples for computation of accuracy from inspiring English sources

These BLUE are used to compute adjusted phenotypes which will be needed in the computation of accuracy and bias of genomic estimated breeding values (GEBV).

Our algorithm facilitates the computation of accuracy of a DTM by comparison with another and it is applicable in such fields as hydrology (precision estimation of the hydrological features), cartographic generalization, and civil engineering.

For the computation of accuracy, 20%% of phenotypes were randomly set to missing values.

Sources of error and their elimination and the computation of the accuracy of the results are discussed. R. R

Efficiency of routine abattoir inspection to detect tuberculous carcasses (with detailed necropsy, bacteriology and molecular method as reference tests) was assessed based on computation of diagnostic accuracy measures (with corresponding measures of statistical uncertainty).

These effects included a greater propensity to underestimate predictive accuracy and its variance when the sample size is small, overestimate predictive accuracy when the sample size is large, or for the mixed models to fail to converge to optimal parameter values, thus precluding computation of predictive accuracy.

Williams and Shah's work [ 28] presented several curvature approximation methods for discrete curves and evaluated their efficiency of computation, accuracy of the estimation, and presence of anomalies.

Finally, three numerical examples show the stability of computation, the accuracy of solving stiff equations and the capability of solving nonlinear equations, respectively.

The diversity of models and implementations reflects the various requirements for the balance between time complexity of the computation and accuracy of the results.

In this context, we present a comparative evaluation of the relative performance of different multilayer perceptron based models for optimal fitting of transducer static response characteristics, with particular attention paid to the speed of computation, accuracy achieved, architectural complexity and computational load for a given set of training data.

To significantly reduce the computation time without loss of accuracy, the presented method contains the determination of a representative load profile using a k-means clustering method.