Sentence examples for underlying prediction from inspiring English sources

We created underlying prediction frequency surfaces from the models that can be used for creating continuous representations of soil class and property distributions.

Although we believe that the overall performance or the PRANK method is good enough, the performance of the underlying prediction model itself can be considered less satisfactory (see the last three columns in Table 2).

"We bring a high degree of data and underlying prediction intelligence to bear, to know which users to go after in their native environment – be it phone or tablet, iOS or Android," says Ellis. "Customers pay us on more of a cost-per-action rather than a cost-per-install basis".

We examine the performance of our underlying prediction algorithm in real world conditions and report on the suitability of our hybrid interface design, as a replacement for traditional contact retrieval interfaces (e.g. phonebook and recent call list).

Using the original scale turns out to only add extra noise to our underlying prediction problem.

Protein stability changes due to variants were estimated by MUpro [ 31] which estimates both energy changes and the reliability of underlying prediction.

Several challenges confound this goal, including imperfect empirical rules and parameters underlying predictions and the fact that folding algorithms scale poorly with respect to sequence length.

It was emphasized that the submitted network, specific for the HepG2 cell line, had to include only nodes representing measured or manipulated elements (i.e. stimuli, inhibited proteins and measured proteins) and edges underlying predictions, and that predictions had to be based on the reconstructed network.

To sum up, in this section on prediction, we have reviewed on the one hand evidence that responses to prediction-matching stimuli are attenuated, and on the other hand that the underlying prediction-related activity can be uncovered with omission paradigms.

Several environmental as well as host characteristics may explain underlying predictions [ 27, 28].

Because sensory feedforward signals are an expression of prediction error, they are dependent on the underlying predictions generated by the internal model.