Sentence examples for clusters and this from inspiring English sources

RLlib is designed to scale to large clusters -- and this applies to multi-agent mode as well -- but we also apply optimizations such as vectorization for single-core efficiency.

Biotechnology companies, on the other hand, have grown in geographic clusters, and this cluster effect means that increasingly the companies can often find new employees from within the local labor pool.

The cluster growth rate strongly depends on the collision probability between clusters, and this collision probability can be increased by increasing the time spent by a cluster within the growth region.

As it is observed if the clusters remain static this user is exposed to higher level of destructive interference than applying dynamic clusters and this is due to the fact that two neighbor cells of this user, that are interfering cells in case of using static clusters, are exchanged into useful ones when clusters are built dynamically.

After assigning probabilities to all nodes (Step 3), nodes with an exceptionally low probability come into focus: These outliers correspond to points in the PCA-plane that are spatially separated from larger clusters; and this separation corresponds to abnormalities of measured features.

From the preliminary evaluation data, the silkworms are classified and grouped based on Warts' minimum variance method to identify the genetic relationship between the clusters and this method helps in grouping the silkworm germplasm.

We have applied this technique to two globular clusters, and found this approach to yield impressive results.

Immigrants have tended to cluster, and this reduces social interaction outside the group.

It phosphorylates histone H2B at tyrosine 37 in the nucleosomes found upstream of the histone gene cluster, and this suppresses histone transcription in late S phase.

Notably, English forms a self-cluster, and this independent standing means little interest similarity between English and other languages.

All of the phrases said by the same user tend to be clustered and this can be used to minimize the likelihood that one person saying "Hey Siri" in your office will trigger everyone's iPhone.