Sentence examples for the average entity from inspiring English sources

The largest decrease was in taxable income, which declined by 7.5% for the average entity, whereas the decline in tax payable was only 2.5%.

(You could even construct a bell curve in which there is only one "above average" entity). But some news organizations (including a blog on washingtonpost.com) ran with the remarks to say that she might want to close as many as half — or even most — of the schools in the country.

Conversely the density of a single cluster represents the average density value of the spatial entities defining the cluster in the discretised space.

In this procedure, the superior chromosomes are given priority in mating, but average entities have chance of being selected too.

This means that on average entities comprising about a quarter (0.27) of the total population have been detected with 95% probability at least once.

Similarly, for each participating reference r in h, we assign its participating attribute as the average of the underlying entity's attribute r.e.z and the hyper-edge's attribute h.y.

To counter for the fact that different entities may have different experiences under similar dynamics, we use the average experience over all entities and calculate it as q ki j = 1 M ∑ m = 1 M q ki m. (26).

Although the average of the DD entities (5 per document) is close to the average of the SS entities (7 per document) in OTC documents, the average of the DD entities (274 in Rx_Top200 and 293 in Rx_Other) is more than twice the average of SS entities (90 in Rx_Top200 and 144 in Rx_Other) in Rx documents.

Each hyper-edge is also assigned an attribute y, which is equal to the average of all participating entities' behavior attribute y.

Ambiguity of an entity can be computed through a statistical approach based on the previously cited vectors and knowledge bases (the reader can refer to [27] for details), and therefore, we can measure the ambiguity of a short text as the average ambiguity of the entities contained in it.

Almost 25% (answers 5, 6 and 7) of the extracted events contained a wrong identified gene/protein, cell/anatomy or both of them, which means that precision was higher than the average for the named-entity recognition (cf. Table 2).