Sentence examples for prediction area from inspiring English sources

We calculated the excess of prediction (area predicted by lumped model - area predicted by superposed split models) for each lineage pair and investigated whether the combined ecological niche model predicts more suitable area than the superposed split models.

One way to address this is to increase the resolution (ie, reduce the cell size) of the grids that NWP models use to map the prediction area.

To evaluate the comparative performance, we used benchmark problems drawn from identification system and time series prediction area.

Researchers working on software fault prediction area should continue to use public datasets and machine learning algorithms to build better fault predictors.

The combined nearly ideal binary solvent/Redlich-Kister model and its extended version, i.e. the Jouyban-Acree model, are the most common models in the solubility prediction area.

Despite the large amount of work in the prediction area, few efforts have been devoted to the task of link recommendation, which is inherently different (and more relevant for real social media services) since it aims to the satisfaction of single users and not just to maximize the ability of predicting the global evolution of the social graph.

Brantingham notes that Kent police are taking a more proactive approach by not only concentrating officers in prediction areas, but also civilian public safety volunteers and drug intervention workers.

In addition, the overlap in prediction areas based on our MLE estimates and the human cases reported in our study area (see Results, Figures 2, S5) suggests that our measures of vector prevalence are successfully capturing the risk of WNV infections to secondary hosts.

Indeed, combinations of prefrontal cortex and connected prediction areas appear co-activated during "working memory" function (e.g. Levy et al., 1997).

As elaborated above, the prefrontal cortex is thought to continually monitor the tonic activity levels of connected prediction areas of the brain to ensure an optimal threshold for detection of prediction errors.

Based on known patterns of connectivity between brain regions, and in the interest of efficient system function, a prediction-based model of memory hypothesizes that the different prediction processing areas are interdependent in the sense that generation of error signals in one system should quickly influence the future firing patterns of neurons in other prediction areas.