Sentence examples for configurations of data from inspiring English sources

In our study, hot spots are defined as high-high values that are statistically different from configurations of data expected by chance.

It has been used to solve a wide range of computationally hard problems such as maze-solving, the traveling salesman problem, calculation of optimal graphs, construction of logical gates and arithmetic circuits, sub-division of spatial configurations of data points and robot control.

Data and program independence was broken but the ad hoc configuration of data management components or services seemed to be easier to configure since it was more efficient to personalize functions according to application needs.

Therefore, data acquisition for W7-X is designed to facilitate the implementation and configuration of data processing modules.

This fully-automated configuration of data sampling, geometry/grid generation, CFD solving and surrogate modelling generated several surrogate models.

The datapath and operation control signals specify the configuration of data flow and computing units, while the I/O delays are used for synchronization scheduling among multiple computing units.

Unlike the traditional Kriging variance which is a function of mere measurements density and spatial configuration of data points, the conditional copula account for the influence from data values.

Essentially it finds a configuration of data points in a low dimensional space (two dimensions in our case) that best captures the proximity of points in a higher dimensional space (six dimensional in our case).

The FLIC is distinguished from the AIC and BIC in that its penalty term is determined not only by the sample size but also by the configuration of data points: a configuration suggesting greater heterogeneity allows a model with more components to be selected.

Figure 6 Different simple configurations of the data association matrix and their corresponding synthetic vehicles projections (in blue ), and measurements (in red ).

We show that the parameters in the model are at least locally identified, but for certain configurations of the data, they are only weakly identified.