Sentence examples for decrease in redundancy from inspiring English sources

Another study [13] used in vivo spike trains recorded from monkeys to derive a synapse model with activity-dependent depression, showing a decrease in redundancy from input to output spike train.

On one hand, the gain in the unlinked diversity was high in the G-48, probably due to the decrease in redundancy compared to the Vassal collection (revealed by the number of kingroups).

As seeds increase in length and decrease in redundancy, their probability of seeding time-consuming spurious alignments decreases but so does their probability of not seeding what would be a legitimate alignment.

This result further emphasizes the decrease in redundancy in the core collections compared with the Vassal collection, but also reflected the relative high number of cultivars originating from Western Europe in the Vassal collection, whereas the main domestication center is the Middle East [ 30].

This study demonstrates that elevated temperature, combined with substrate supply and trophic interactions, dramatically alters BCCs, concomitant with decreases in functional redundancy.

Using the inference functionality of SQIV we can pre-process the data in an automatic way, in order to perform any transformations that do not result in information loss but will decrease redundancy in the database (e.g. transform all tumour size values to centimeters).

The national M&E system has been successfully instituted nationwide, but currently needs major revisions in decreasing redundancy of the list of indicators and better definitions, as well as decreasing the burden on health providers.

It is intuitive that the restriction of such an additive prior knowledge may decrease the redundancy of measurements in CS, and the reduction in measurement number M of CS may therefore be possible.

This demonstrated the efficiency of the specific subtraction strategy in decreasing redundancy.

Sequence analysis also reveals that normalization and especially subtraction were effective in decreasing redundancy, and that the pooled-tissue library was representative of the initial tissue complexity.

Even so, quadratic algorithms will not be efficient enough when dealing with very large datasets and more efficient data compression methods (such as those used to decrease redundancy in databases) will probably need to be used in the close future (Blackshields et al., 2008).