Sentence examples for the underlying correlations from inspiring English sources

To that respect, visualization tools can help to better comprehend the underlying correlations.

Therefore, it is critical to combine them to improve the learning performance, while simply concatenating features from all views and transforming a multi-view data into a single-view data, as the method (a) shown in Fig. 6, would fail to leverage the underlying correlations between different views.

Methods: Ultrasonographic IMT measurements from the near and far walls of common and internal segments in the arteries of 1207 participants of the Insulin Resistance Atherosclerosis Study IRASS) were analyzed to estimate the underlying correlations of IMT changes (average of 5.2 years) among artery sites after correction for measurement error.

Even when group means for multiple sites remain comparable, the underlying correlations between these same sites may be markedly different (e.g. Poirier et al., 2008).

Secondly, the limited number of samples that a microarray is typically conducted upon, may introduce significant "measurement noise" that compromises the accuracy of the underlying correlations.

In our implementation, we define adjacencies among samples as signed weighted correlations with values that approximate the underlying correlations when these correlations are large, as is usually the case in sample networks (Methods).

The observed positive correlation between enclosure management regimes and household income can be explained by the underlying correlation between household income and number of livestock owned.

We included r2-values of 0.9, 0.6, and 0.3 in our simulation study to extent the informative value to operational applications and to show the effect of the underlying correlation between auxiliary and field data on the cost-efficiency of the design.

However, all these approaches have investigated the underlying correlation properties in the frequency domain from a different perspective and not by aiming at frequency bin grouping and inferring the ranges of typically unknown technology-specific channels that are defined by primary systems.

Correlation coefficients between pairs were adjusted to include an estimate of the underlying correlation.

It is also easy to decompose the underlying correlation matrix and generate informative network statistics such as the module eigenvector.