Sentence examples for efficiency in prediction from inspiring English sources

The scope of this paper was however not to test the proficiency of prediction of any one annotation type, but rather to assess whether increased efficiency in prediction is observed when adding more lines of evidence to this method.

The sensitivities of the reliability estimates with respect to model parameters are determined and those parameters with small sensitivity factors are replaced by deterministic values to improve the computational efficiency in the prediction of the ultimate longitudinal strength of ship hull.

This paper suggested that coupled simulations between BS and CFD are able to improve the accuracy and efficiency in natural ventilation prediction by taking pressure boundary conditions for indoor CFD simulation.

However, the actual gain in prediction efficiency using short time-step data is not well understood or quantified.

Basic reasons for such integration are an increase in prediction efficiency and also the necessity to link soil maps to dynamic modelling, enabling risk assessment and impact studies.

To improve efficiency in tower displacement predictions, a generalized analytical model is developed based on a simplified 2-D cantilever beam and 1-D momentum theory.

The proposed approach allows for the beneficial effect of element interaction within the cross-section, and is shown to yield a higher level of accuracy and consistency, as well as design efficiency, in the capacity predictions of slender stainless steel cross-sections, compared to the effective width methods employed in the current international design standards.

We identified transcription terminators for M. hyopneumoniae in silico using three algorithms that demonstrated differences in efficiency of prediction.

Sensitivity and specificity of each test in predicting a good outcome and total correct classifications (TCC = efficiency of prediction) are reported in the table.

Feature sets that are too larger may contain many uninformative features leading to overfitting or a decrease in prediction accuracy or efficiency.

Experimental evidence on large-scale real-world QoS data shows that LoNMF is scalable, and consistently outperforming other state-of-the-art applications in prediction accuracy and efficiency.