Sentence examples for capture correlation from inspiring English sources

In addition, a new feature, called Relative Motion Distance (RMD) is proposed to efficiently capture correlation statistics.

It provides important information for the design and optimization of SNM and can capture correlation effects of doping fluctuations inside the same semiconductor device and between more devices.

Because pathways organize genes into biologically functional groups and model their interactions that capture correlation between genes, this information integration can improve not only the predictive performance but also interpretability of the selection results.

The model is designed to capture correlations among random components influencing these decisions.

These layers are able to capture correlations between features captured in distant parts of the face images, e.g., the position and shape of eyes and the position and shape of mouths.

However, while multi class learning using output codes provides a simple and powerful framework it cannot capture correlations between the different classes since it breaks a multi class problem into multiple independent binary problems [43].

Along the same lines, the VAR model can also capture correlations between variables, locations, and time (e.g., temperature at one location may be correlated with time-lagged solar radiation at another location).

Compared to cross-sectional studies, longitudinal studies are able to include multiple measurement points and not only capture correlations but potentially also inform about causal linkages between different aspects of ECEC and child development.

This fragment conformation approach allows BCL Conf to capture correlations in torsion states for multiple consecutive dihedral bonds in contrast to other methods that treat likely torsion angle states for consecutive bonds in an uncorrelated way.

We based on the idea that while the users are answering the VAA policy statements, they are incrementally producing sequences of observations (answer patterns) that might characterise 'typical' voters of particular parties; thus, an HMM classifier, whose ability to capture correlations in symbol sequences would be beneficial.

A DWM is also harder to visualise: a "sequence logo" cannot capture correlations.