Sentence examples for the classification will from inspiring English sources

It feels almost too confining to place Zivkovic's work in the category of speculative fiction, but until our limited language can generate a more befitting name for his genre, the classification will have to do.

By this algorithm, the "singular" samples will be eliminated according to the classification accuracy and the features that facilitate the classification will be enhanced.

We expect that the classification will serve as a basis for future investigations in which this specific speech act is explored from a pragmatic standpoint.

The terms P-Celtic and Q-Celtic are sometimes used to describe assumed divisions of Common Celtic; to use one sound shift to distinguish dialects is, however, hardly justified, and the classification will not be used in this article.

Sometimes fairness will require a hearing to determine whether a statutory classification will advance the legislature's purposes in a particular case so that the classification can properly be used only as a burden-shifting device, while at other times the fact that a litigant falls within the classification will be enough to justify its application.

All items of the classification will be discussed and, whenever relevant and possi­ ble, be illustrated by MR images.

But the classifications will only be limited to British artists and will not apply to some of the most explicit videos from US performers.

Initially the classifications will be monitored and regulated by BookRabbit, with the aim of reaching a 'self monitoring' Wiki model in due course.

This can be proved that once their values are suppressed (setting to zero), the classifications will become correct.

The classifications will sometimes be slightly inconsistent from state to state, because the polls in some states (such as Pennsylvania and Ohio) use bigger sample sizes on average than others (such as West Virginia and Vermont ).

In further work, the classifications will allow us to examine empirically the magnitude and variation of among-study heterogeneity in meta-analyses, enabling us to understand how certain characteristics influence the level of between-study heterogeneity.