Sentence examples for predictions and reduce from inspiring English sources

In this study, it was expected that the initial model prediction would be identical to those of the classification and regression tree analysis and adjusting growth predictions after each subsequent measurement would individualize the model predictions and reduce the predictive value of the plasma D-dimer covariate effect.

In order to be more accurate in predictions and reduce simulation errors, most of previous studies have focused on how to improve the methodology of load forecast or how to correct the annual meteorological parameters library in face of global warming.

The extent, quality, and availability of environmental, chemical and physical data are continually improving and should be incorporated in an iterative process with field surveys to refine predictions and reduce the number of false positives and negatives in habitat suitability models.

The combination of two parameters in one program provides extra stringency to the predictions and reduces false positives (see Table S1 for results without the repeat requirement).

Ensemble forecasting produces, in general, more robust predictions and reduces uncertainty among models when incorporating climate change [ 26, 27].

The proposed method also uses p(s ) and p(a ) for composing the efficient scoring (gain) function of predicting secondary structures of target sequences by combining the information of homologous sequences, and succeeds in both keeping the quality of secondary structure predictions and reducing the computational time compared with RAF, despite the use of the same information as RAF.

We hope that the described approach can ease selection of the set of stereoisomers to be tested by QM spectral prediction and reduce the costs associated with time consuming GIAO based calculations.

Initial results from this multi-sensor approach suggest an improvement in recognition of activity type and intensity which could potentially improve PAEE prediction and reduce variability between and within participants under laboratory and free-living settings.

The tests of improved PKNOTS and improved LZ indicate that the GM method may also be applied to other algorithms of RNA structure prediction to improve the prediction sensitivity and reduce the predicted redundant base pairs.

Further, this information will also serve as an input to constrain topology prediction of unknown transmembrane proteins, which will significantly increase prediction accuracy and reduce the number of erroneous predictions.

This procedure was adopted to avoid the overestimation of prediction accuracy and reduce the impact of sequence or domain homology on the prediction performance [58].