Sentence examples for multiple ensembles from inspiring English sources

Exact(12)

Now, on Friday and next Saturday, the Philharmonic returns to the armory in similarly spectacular style for "Philharmonic 360," a program of pieces that feature spatially dispersed players and multiple ensembles.

Inspired partly by the music of Charles Ives, who sometimes juxtaposed multiple ensembles playing different music, and partly by a work for five jazz orchestras by Teo Macero, one of his composition students who later became an important jazz producer and arranger, Mr. Brant began using space as a compositional element.

These methods usually involve the creation of multiple ensembles or replica that can be run in parallel (e.g. temperature replica-exchange, umbrella sampling).

For multiple ensembles, one obtains a linear slope approximately twice the maximum depths to the various magnetic sources (Rabeh et al. [2008]; Trifonova et al. [2009]; Bansal et al. [2011]; Abraham et al. [2014]).

The practical application of hydrological uncertainty models that are designed to generate multiple ensembles can be severely restricted by the available computer processing power and thus, the time taken to generate the results.

The results indicated that the downscaled and disaggregated rainfall data based on multiple ensembles from HadCM3 for the period from 1980 to 2010 could well cover the observed mean rainfall amount and extreme data, and also reasonably keep the spatial correlations both at daily and hourly timescales.

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Similar(48)

And it examined the many engines that drive his music: the polyrhythms of multiple ensemble pieces, the restless melodies that bounce across an ensemble's timbres and the natural, speechlike rhythms of his vocal works, for example.

As a result, the multi-sensor configuration problem is transformed to multiple ensemble classifier pruning problem.

Given the feature sets and the base classifiers, we have developed multiple ensemble classifier compositions under four architectures.

Two General Circulation Models (GCMs) with multiple ensemble integrations were used as a basis for assessing uncertainty in the climate projections.

With the feature dimensionality and the database size, the statistical scatter of EOOB over multiple ensemble runs with different seeds was typically so small that drawing error bars around the data points in the graphs would not show two visually discernible horizontal lines, which is why we omit this information in our graphs.

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