Sentence examples for mutual information sharing from inspiring English sources

Exact(3)

For you, Facebook's ability to depict your network of friends and the varying strengths of those relationships supports all your mutual information sharing.

To be credible participants in mutual information sharing agreements, developing countries must also be able to generate domestic tax data that is of interest to partner countries.

The support groups aim to enable the group participants to devise ways of remaining well, through discussion of collective experience, mutual information sharing and support.

Similar(57)

Mutual information shared across two variables cannot be bigger than the entropy of the least entropic variable.

The mutual information shared between gender, the G and T alleles of MDM2 SNP309 and the age of first tumor diagnosis were calculated and the results are presented in Figure 1C.

Consistent with this hypothesis, an analysis using MISTIC showed that there is substantial mutual information shared between residues in CydX and the Qlong region.

Log model evidence values therefore represent the mutual information shared by the psychological variable (in this case knowledge of permanent landmark locations) and the pattern of voxel responses within that brain region.

Three-dimensional mutual information (MI) shared between reference and onboard DTS volumes was computed in a region surrounding the spine of a chest phantom, as translations spanning +/-5 mm and rotations spanning +/-5 degrees were simulated along each dimension in the reference volumes.

Of these interactions, the highest mutual information was shared between residues in the C-terminal region of CydX and the variable region of Qlong.

In other words, mutual information measures the information shared by the two sites.

The output couples the phylogenetic information from the RAxML tree and the contribution of the different branches/lineages to the mutual information (i.e. the information shared between each lineage and the grouping at which a given observation belongs expressed as a gradient of colours, where yellow is the null contribution and dark red the maximum).

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