Sentence examples for predictors that can from inspiring English sources

To avoid exponential growth we introduce the idea of "dynamic feature selection" for building hardware predictors that can use a large amount of predictive information.

The main aim is to assess the pertinence of using this strategy to build suitable and efficient instability predictors that can be potentially associated with numerical optimization schemes and/or robustness analysis algorithms for a robust design of brake systems.

Different predictors that can lead a candidate to success are highlighted.

An important limitation of our study was the relatively small sample size that did not allow development of a clinical prediction model given the limited number of predictors that can be included into a model with this sample size.

When a fault occurs in power system, the PMUs installed on generator busbars capture the disturbance signal in a few cycles, providing the trajectories-based features which are imported into the well-trained parallel CUGs predictors that can avoid time-consuming series ANNs prediction.

As the goal is to identify reliable predictors that can be used to screen whether new patients will lose weight with a hypocaloric diet or not, predictors need to be identified in a training set and not the entire dataset, i.e. valid predictors should consistently differentiate responders from non-responders in all possible comparisons, and not be dependent on a single comparative analysis.

Replacement of the superscript (M) by (R) provides a predictor that can be applied at the sink node.

In accordance with the prostate study, the two gene signature consisting of probesets for PSPHL (205048_s_at) and CRYBB2 (206777_s_at) was identified as the top-ranked predictor that can distinguish between the breast tumor epithelia from African-Americans and European-Americans (Table 4).

We anticipate that a predictor that can use additional metabolites may well be more accurate.

There is a need to develop a simple effective predictor that can identify patients at risk of severe disease.

A predictor that can make both accurate and comprehensible predictions is most desirable, but unfortunately, finding a predictor that achieves both accuracy and comprehensibility is difficult and unlikely.