Sentence examples for present ensemble from inspiring English sources

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Some opera lovers may be waiting for the December run, featuring the dynamic young Norma-Adalgisa duo of Angela Meade and Jamie Barton, to attend, but the present ensemble, with Joyce DiDonato (as Adalgisa) and Joseph Calleja (as Pollione) joining Radvanovsky, is very much worth hearing now.

Understanding human reasoning with static ensemble displays is a necessary first step to unpacking ensemble cognition; however, many visualization scientists may desire to present ensemble displays as animations or time-varying displays (Liu et al., 2016).

In Table 1 we therefore present ensemble statistics both with and without this scenario for the last period.

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Like all Donnellan's work for Cheek by Jowl, there is a pleasing fluidity about the action played out on a stage bare but for five red containers and an ever-present ensemble who act like human screens or dissolving walls.

Figure 10 indicates that the presented ensemble based neural network algorithm outperforms the standalone neural network in terms of precision.

Results show that the presented ensemble methods yield improved prediction accuracy over the individual fault prediction techniques under consideration.

To fulfill this gap, this paper presents ensemble methods for the prediction of number of faults in the given software modules.

In this article, we presented Ensemble Modeling for Robustness Analysis (EMRA), which combines a continuation method with the Ensemble Modeling approach, for investigating the robustness issue of non-native pathways.

JAZZ STANDARD 116 E. 27th St. (212-576-2232) — OcThe14-16: The saxophonist Greg Osby, one of jazz's foremost talent scouts, presents ensembles now recording for his Inner Circle Music record label.

These dynamical features of proteins may be highlighted by presenting ensembles of conformations instead of individual representative structures.

Wang et al. [28] present the ensemble of six commonly used filter-based rankers whereas Optiz [21] studies the ensemble feature selection for neural networks called genetic ensemble feature selection.

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