Sentence examples for the global variance from inspiring English sources

DVE unfolds the dataset by maximizing the global variance subject to the proximity relation preservation constraint originated in Laplacian eigenmaps.

Over 2000-2005 the average growth rate was 2.2%—exactly the global average but the standard deviation among African countries was 6.1%—much higher than the global variance.

Using the global variance reduction methods in SuperMC, the average speed-up is 292 times for the calculation of inboard TF coils nuclear heating, and 91 times for the calculation of global flux map, compared with the analog run.

The uncertainty propagation and the importance measure of input parameters are analysed using three different approaches: a first-order local method, a Global Sensitivity Analysis GSAA) supported by a variance-based method and an extension of local variance to estimate the global variance over the domain of inputs.

In this paper, combining the ideas of MVU and Laplacian eigenmaps, we propose a new nonlinear dimensionality reduction method called distinguishing variance embedding (DVE), which unfolds the data manifold by maximizing the global variance subject to the proximity relation preservation constraint originated in Laplacian eigenmaps.

Toda et al. [16] introduced the global variance (GV) of the converted spectra over time sequence.

This weakness is mainly caused by its definition of the dimensional global variance, the improved version of which is employed by O-HARP.

The denominator is the weighted global variance of f r.

Pupil diameter was aggregated into 1 s bins, and autonormalized compared to the mean and global variance across the session.

The information we need is not only the gene-specific global variance but also how much the expression of a gene varies within the replicates under certain condition, i.e. within-condition variance.

In the simplest case, σ j ′ 2 coincides with the definition of global variance σ j 2 in HARP [ 13], where the values consist of all the j th dimensional values across the dataset.