Sentence examples for scaling of data from inspiring English sources

Such scaling of data smooths the solution space and averages out some of the noise (ASCE 2000).

Pareto scaling of data helps to regulate overwhelmingly strong signal contributions, which may obscure the fine features of 2DCOS and 2DCDS spectra.

We introduce new version of local data storage, query language for conceptual scaling of data snapshots as multi-valued contexts, and new tools for working with formal concepts.

The chapter includes convolution, correlation, window functions, and a generalized category of norms, Lp-norm, which is used for scaling of data as well as for noise and error estimation.

Data pretreatment operations prior to 2D correlation analysis are discussed, including the correction for physical effects, background and baseline subtraction, selection of reference spectrum, normalization and scaling of data, derivatives spectra and deconvolution technique, and smoothing and noise reduction.

While agreeing that "the general conclusion is probably right," University of Chicago professor emeritus and biostatistician John Bailar cautions that the exact size of the gap is "in question" because Ginther's team used incomplete data and relied on "a lot of big assumptions," such as linear scaling of data.

The scale of data work is more like woodworking, as well.

There are calls too for America's director of national intelligence, James Clapper, to stand down for lying to Congress over the scale of data collection in the US.

The proliferation of Weibo and cheap smartphones seems to pose a fundamental challenge; the scale of data may grow even faster than China's ample human resources can manage.

ClinicalTrials.gov currently lists nearly 140,000 studies, and according to an analysis by the F.D.A., the British Medical Journal article cited by Mr. Goldacre dramatically overstates the problem of clinical trial reporting and does not reflect the full scale of data sharing.

Indeed, efficient algorithms always have been of primary concern in computational biology, given the scale of data available, and biology has in turn provided examples that have driven much advanced research in computer science.