Sentence examples for decrease the prediction of from inspiring English sources

Secondary analyses revealed that exclusion of HPV vaccination uptake from the regression model did not decrease the prediction of HPV vaccination intention (mothers: R =.83 excluding and R =.84 including HPV vaccination intake; daughters: R =.73 including and excluding HPV vaccination intake).

If a block cannot be removed because it would decrease the prediction capacity of the classification model then the next block (following the ranking of attributes) is tested.

6, 8, 12 Including a correction for species differences in intrinsic clearance could also possibly decrease the prediction error of allometric methods.

Adding BD data as well as PSD, T/S and OC in the model slightly (but not significantly) decreased the prediction errors of KS.

Regarding the cost function based on decreasing the prediction error, the optimization of weights and biases are performed within the neural network for better training.

The noise will decrease the accuracy of prediction in the first generation while in the latter generations become even worse because distantly linked loci will recombine and become less predictive.

Even when purely additive effects were evaluated, the inclusion of dominance in the genomic evaluations did not decrease the accuracy of prediction (Toro and Varona 2010; Su et al. 2012; Zeng et al. 2013).

This is exactly consistent with an increase in the "explaining away" of predicted visual input under predictive coding; in other words, if top-down predictions ϕ t j (see eq. 2) from auditory cues decrease the amplitude of V1 prediction error | λ t − ϕ t j |, a better prediction corresponds to a decrease in effective connectivity.

Selecting such features makes the prediction model cumbersome, does not improve prediction precision, but contrarily, may decrease the accuracy of essential gene prediction.

From this point of view, flexible docking can decrease the ratio of wrong prediction by considering the conformational change of the receptor during the receptor-ligand binding process.

In the present investigation, we have proposed a novel scheme to decrease the number of false predictions by suitably combining several metaheuristic techniques.