Empirically observed that more data reduces optimization error.
They're currently conducting a study of 260 children, which will address questions such as whether having the nighttime data reduces kids' asthma exacerbations or health care use.
In addition, the use of experimental data reduces some inevitable errors in the numerical analysis and refines the numerical predictions in noise problems.
The use of transient data reduces measurement time, and the use of a differential technique enables compensation of the thermal losses.
Judging the effectiveness of a teacher on only quantifiable data reduces the art of teaching children to a mathematical algorithm can that be performed more effectively by a hologram projected on the Smart board than by an old-fashioned, caring, humanly flawed teacher.
Additionally, the use of proposed size for synthetic data reduces modeling effort significantly because it eliminates the iterative approach in modeling, hence development of models for limited number of data becomes more practical.
With respect to the more-common two-color emission technique, the use of a wide set of spectral data reduces the uncertainties due to the determination of the index of refraction of soot.
Using flash for large, unstructured file data reduces the latency issue that other scale-out solutions tend to have.
