Sentence examples for centrality improves from inspiring English sources

Including infection betweenness centrality improves the performance of all classifiers on all networks with the exception of C4.5 when applied to OREGON.

To conclude, the social network indicators used in previous studies already generated good sentencing outcome predictions, the inclusion of additional network centrality measures improves their accuracy.

This is because the predictive power of each feature is low in OREGON than in the other networks as shown in Figure 3. Next, we compare the classifiers using all of the features to those excluding infection betweenness centrality in order to check whether infection betweenness centrality can improve the performance of the classifiers.

In [36], a centrality-based caching algorithm is proposed in ICN based on complex network by exploiting the concept of (ego network) betweenness centrality to improve the caching gain and eliminate the uncertainty in the performance of the simplistic random caching strategy.

Indeed, combining 2 centrality measures improved the overall significant predictions (see Figure 2).

We noticed that genes predicted by individual centrality measures did not overlap (to access the specific sets of overlapping genes see ); therefore, we hypothesized that combining the predictions from different centralities may improve the reliability achieved by the individual centralities.

Especially for colon cancer, the predicted precision of the PageRank algorithm and degree-centrality were improved more than 20% on average when predicting no more than 100 candidate disease-related genes.

By increasing the overall acceptance of FIT, the scintillator will improve centrality and event plane resolution.

Thus, combining centrality measures might improve the significance of these predictions.

The combination of more than 2 centralities did not improve the correct prediction of metabolic essential genes (see Figure 2).

This was an approximation but improves power if the non-centrality parameter is roughly the same for associated SNPs as fewer parameters have to be optimized.