Sentence examples for predictions to reduce from inspiring English sources

A distributed state estimation algorithm that makes use of model-based predictions to reduce communication requirements in a networked control architecture is tested on an unstable system.

As a practical application of BiSS, we show how to use its predictions to reduce the time required by another system to learn strong heuristic functions from days to minutes in the domains tested.

From the simulation result in Section 4.2, it should be noted that the MIS-based MP-PF is hard to achieve the threshold 0.06 with large P. Therefore, for the accuracy threshold 0.06, the MIS MP-PF cannot use more predictions to reduce the execution time, and we skip the discussion of the MIS scheme for this target accuracy.

The "fade by clamping" feature was applied to the future predictions to reduce the effect of projecting onto environmental conditions not present in the training dataset.

Clearly, it would be useful to be able to prioritize microRNA:mRNA target predictions to reduce excessive false leads and unnecessary experiments.

In the final step, all samples are scanned for common fusion predictions to reduce false-positive predictions.

Comparing counterfactual predictions to reduced-form evidence highlights the importance of interdependencies in firms' sourcing decisions across markets, which generate heterogeneous domestic sourcing responses to trade shocks.

These constitute bottom up and lateral messages that drive posterior expectations towards a better prediction to reduce the prediction error in the level below.

These constitute bottom-up and lateral messages that drive conditional expectations towards a better prediction to reduce the prediction error in the level below.

One strategy is to improve homology prediction to reduce noise (i.e. false and missing edges) in G S (Altschul et al., 1997; Brejova et al., 2003; Buhler et al., 2003; Weston et al., 2004; Zhang et al., 1998).

Considering the outliers of bounding box in testing, however, we broaden this restriction and actually select T h as the value which meets over 85% true positive predictions, expecting to reduce the false negative predictions.