Sentence examples for data density is from inspiring English sources

The tech world, obsessed with data density, is taking notice because Mr. Parkin has done it before.

Although the algorithm was designed for bathymetric estimation, it could be readily used on other two dimensional scalar fields where variable data density is a driver.

Both the Gaussian probability design and the fuzzy boundary design methods automatically search for regions, where training data are sparse, and add pairs of training data on both sides of a class boundary where the data density is the lowest.

The Gaussian Probability Design automatically searches for the sparseness of the data, and adds pairs of training data on both sides of a class boundary in areas where the data density is the lowest.

The true relationship between flux and streambed temperature will generally be non-linear and well approximated as a cubic function, although linear relationships may be applied when data density is low.

However, although these products can be found in the extrapolation domains of the existing data, the predictive ability of the model tends to be low in regions where the data density is low, and new candidates where the predicted values of a property are unreliable will not achieve the desired property values.

When compared with GNSS control points, mean signed errors of the thinned DTM elevations increased as data density was reduced from D20 (0.19 ± 0.97 m) to D1 data (3.21 ± 3.12 m) (Figure 2).

In this work, white nodes on a map signified real-time social media activity, while data density was projected in 3D form to look like hills and mountain ranges.  .

When compared with GNSS control points, mean signed errors of the thinned DTM elevations increased as data density was reduced from D20 (0.19 ± 0.97 m) to D1 data (3.21 ± 3.12 m).

Determining distances or data densities is notoriously difficult in high dimensions [72].

Previous research has shown that smooth hydraulic conductivity (K) estimates are obtained beyond where pumping/observation data are available using the geostatistical inversion approach, when the inversion begins with a homogeneous K and when data densities are not high.