Sentence examples for preferable accuracy from inspiring English sources

The M-Ф curves have preferable accuracy compared with the experimental curves.

The new method was successfully applied to Glu detection in blood samples with preferable accuracy and precision.

4) The complete framework of SSC-EKE organically incorporates multiple theories, such as joint manifold and pairwise constraint-based regularization, smoothness in the reproducing kernel Hilbert space, empirical risk minimization, and spectral methods, which facilitates the preferable classification accuracy as well as the generalizability of SSC-EKE.

A comparison of these techniques resulted in higher predictability under the tablet design variations using the transmittance technique with preferable linearity and accuracy.

Double inspection with optical and radio images is preferable for high accuracy diagnosis, and real time radio imaging is also promising for real time surgery with an endoscope.

Although the physics-based approach is preferable because of its accuracy, precision, and real-time performance, the data-driven prognostics is more widely spread than the physics-based one in the PHM community.

Rather than one autoantibody, a panel of autoantibodies appears preferable to achieve superior accuracy.

The research results reveal that the proposed approach is preferable in improving the solution accuracy of chemical dynamic optimization problem.

Support Vector Regression using Linear and Gaussian Kernel, Ridge regression BLUP, Random Forest Regression and three Bayesian models, namely, Bayes A, Bayes B and Bayesian Lasso, were compared in terms of predictive accuracy for the preferable configuration of joint SNP calling and RFI.

In the past decades, most previous palmprint recognition systems that were designed on the basis of natural light, have achieved more preferable results in terms of recognition accuracy, matching speed, and security.

Thus, even with lower accuracies, SWDA is the preferable classification model in instances of missing data.