Sentence examples for Develop ensemble from inspiring English sources

Throughout the 1930s, steady engagements at the Savoy Ballroom in Harlem helped Webb maintain a stable roster of band personnel and develop ensemble discipline.

Further, in order to achieve better performances, we combine proposed methods and existing methods of the same type to develop ensemble models.

The participation in CAFA2 provided us with a suitable opportunity to update databases for PFP and ESG and to develop ensemble approaches.

In addition to the above approach, we investigated the possibility to develop ensemble-based models to be common for all monitoring stations.

Each student group followed the design process, considering the responses to the interview questions, to develop ensembles for the target market using storyboards, flat-pattern/draping techniques, Adobe Photoshop and Illustrator techniques, test garments (fitting), and prototype ensembles made from fashion fabric that was either 100% cotton or a cotton blend (70 + % cotton).

CODEm, which was designed to develop ensembles of best-performing models, is the cause of death modelling approach that was used for a majority of the diseases and injuries in GBD 2010 (see Foreman et al. [26] for more detail).

The developed ensemble model can be potentially modified to model other types of MFCs or bioelectrochemical systems.

The motivation for developing ensemble of manifold learning components is that it can achieve higher accuracy and applicability than single component in machinery fault diagnosis.

The centre was a pioneer in using satellites to fill gaps in the data over the oceans, and in developing "ensemble forecasts" that generate a range of outcomes by employing slightly different starting conditions to produce multiple predictions.

In this study, anomalies of terrestrial water storage (TWS) observed by the Gravity Recovery and Climate Experiment (GRACE) satellite mission were assimilated into the NASA Catchment land surface model in western and central Europe for a 7-year period, using a previously developed ensemble Kalman smoother.

This paper develops ensemble machine learning model for the prediction of dead oil, saturated and undersaturated viscosities.