Sentence examples for predictions where the from inspiring English sources

Pocket prediction results were divided into different categories for quality assessment: Correct predictions were termed "TOP1-hits" whereas "TOP3-hits" are predictions where the respective ligand is found within the three largest predicted pockets.

StackingC employs a linear regression scheme to merge the predictions: the final predicted probability of a label is the linear combination of the probabilities predicted by participating algorithms; in other words, it is a weighted average of predictions where the weights for participating algorithms were learned from the training set through a nested cross-validation process.

Perhaps not surprisingly, the group this time around was unwilling to venture a guess on that staple of all market predictions: where the Standard & Poor's 500-stock index will end the year.

The two-degree-of-freedom model of the human body provided better predictions where the seat and foam showed a second resonance around 8 Hz.

This fact may also be relevant for long-run predictions where the backward extension of the trajectory, i.e., {x c (t) (in) S: d ≤ t < a c }, is relevant (cf. Stijepic (2015, p. 81)).

Predictions where the centre of the prediction lay within 10bp of the footprint region were considered "hits".

Motivation: Quality assessment of protein structures is an important part of experimental structure validation and plays a crucial role in protein structure prediction, where the predicted models may contain substantial errors.

In this paper, we propose an OSA approach based on spectrum holes prediction where the secondary user builds a predictive model of primary users' channel usage and estimates future spectrum holes based on past observations.

For the LH scheme, the high bit-depth MB can be predicted from the associated low bit-depth MB in two ways: (1) by IPLB prediction, where the high bit-depth MB texture is predicted by inverse tone mapping of the reconstructed low bit-depth MB or (2) by residual prediction, where the residual of the high bit-depth MB is predicted from the residual of the low bit-depth MB.

This time interval value is also used in previous work [11] for long-term prediction, where the same reasoning is used to make it possible to predict further into the future.

Finally, support vector regression is adopted for prediction, where the training input is the synthesis of the similar mean trend segments and the corresponding fluctuation component segments.