Sentence examples for attain high accuracy from inspiring English sources

The appropriate procedures were followed when using the equipment to attain high accuracy of speed measurements.

The CNC as the name suggests is equipped with computers that help in organizing and restoring information to attain high accuracy and speed in part production.

As a result, GP models generally attain high accuracy of approximating the response surface, and thus provide great chance of identifying the optimum.

This machine is designed to serve a specific purpose to attain high accuracy and high efficiency grinding of turbine blades by eliminating the hand grinding process.

The emphasis on the search for parsimonious models – that is, models which attain high accuracy while minimizing the number of features – is now standard operating procedure in machine learning.

A critical component of such an approach is the performance of locus-specific ancestry inference, which has been shown to attain high accuracy for continental ancestries but to be less accurate in inferring subcontinental ancestry (e.g., country of origin; Price et al. 2009; Baran et al. 2012; Maples et al. 2013).

By comparison, the spectral method can attain higher accuracy because it adopts Fourier and orthogonal polynomials to approximate unknown function, but other numerical methods use ordinary polynomials or difference quotient.

The purpose of using assessment formats based on Functional Health Patterns and standard nursing diagnoses, as included in the Handbook of Nursing Diagnoses [ 25, 26], is to attain higher accuracy in diagnoses.

However, unlike threshold dynamics, the new algorithms also allow attaining high accuracy on uniform grids, without adaptive refinement.

The artifact, which operates automatically and without human intervention, is shown to provide significant improvements over alternative approaches as it attains high accuracy with respect to its core information retrieval task.

There lie considerable challenges in attaining high accuracy in voice classification given the dynamic nature in the speech data, not only the contents within but also the diversity of human vocals and different ways of speeches.