While the latter rate of erroneous predictions was reduced, it remained too large for the predictive tool to be definitive.
By deploying the prescribed method, uncertainty in model predictions is reduced by approximately two thirds.
In this paper, a novel prediction-based data collection protocol is proposed, in which a double-queue mechanism is designed to synchronize the prediction data series of the sensor node and the sink node, and therefore, the cumulative error of continuous predictions is reduced.
After adding the cutoff of 0.8, the number of the molecules with false predictions was reduced to 58.
After this filtering, the trends in sensitivity and specificity remained, but were less pronounced: mirCoS found 181 known human miRNAs, compared to 176 for RegEx, and the total number of predictions was reduced to 1667 and 694, respectively, with 337 predictions shared between the two methods.
Both the sensitivity and specificity of four-digit allele predictions are reduced relative to their two-digit counterparts, but changes to the ambiguity of predictions are more pronounced.
Methodology of the molecular-mechanical postdocking optimization for protein-ligand binding energy refinement after docking in the frame of the DISCORE program was applied to factor Xa. It was shown that the number of false predictions is reduced significantly by the postdocking optimization.
Through Bayesian updating, the uncertainty in RUL prediction was reduced as crack measurements became available.
It gives weight to data points such that their influence on prediction is reduced as distance from the point increases.
One additional gain from using such prediction is reduced latency since the cache behaves like a direct-mapped cache when a prediction hits [10].
