Sentence examples for subsequently predicted from inspiring English sources

The pGI50 values and prediction errors were subsequently predicted for the calibration set and employed to calculate the vector of non-conformity scores for this set, which, after being sorted in increasing order, led to: α calib = { α calib j } j = 1 N calib, where N calib corresponds to the number of data points in the calibration set.

The subsequently predicted residuals are added to the GM 1, 1) to obtain the UT1R-TAI predictions.

Subsequently, predicted responses for a given FRP sandwich plate under various transverse applied loads are presented.

These two values are compared against each other and deforestation is subsequently predicted to occur when the agricultural value exceeds the forest value by a certain margin.

The micro-hardness variation is subsequently predicted by a model which accounts for both dislocation density and phase transformation evolution processes.

The results reveal that past recycling behavior had a significant effect on environmental concern (B = .28, SE = .05, 95 % CI = [.173 .379]), which subsequently predicted green apparel shopping behavior (B = .15, SE = .01, 95 % CI = [.121 .176]).

Two key findings from genomic selection experiments are 1) the reference population used must be very large to subsequently predict accurate genomic estimated breeding values (GEBV), and 2) prediction equations derived in one breed do not predict accurate GEBV when applied to other breeds.

This note discusses the fundamental reasons of the limitations of classical fracture mechanics and subsequently predicts alternatives.

This indicates the importance of dedicated modelling of build-up so as to subsequently predict wash-off load.

Through path analyses, lurasidone treatment predicted improvement in depression (β2 = −0.33, p = 0.009), subsequently predicting improvement in functional impairment (β3 = 0.70, p < 0.001; indirect effect = −0.23).

The goal of this process is to find classifiers that fit the training dataset maximally, and subsequently predict scores on new datasets with high accuracy.