Sentence examples for constructed ensemble from inspiring English sources

Mr. Munisteri's "Remix" showed his beautifully constructed ensemble work and acute eye for visual effect as six dancers moved in fluid counterpoint to songs by Jeff Buckley and Beck.

The witty, discreetly virtuosic dances that Ms. Stroman creates for him, with their deliberate echoes of Astaire set pieces, are the best parts of the work, although her brilliantly constructed ensemble numbers run a close second.

We show that the constructed ensemble elements retain the basic shape and dependence structure of autocorrelation function (acf) and partial autocorrelation function (pacf) of the original time series.

On the other hand, effectively constructed ensemble system of SVM can overcome this problem since it involves fusion of systems that should have been constructed on different spaces of hypotheses searched by the learning algorithm on the training data set (Dietterich 2000).

The central idea of the method is to discretize the infinite-dimensional optimization problem by utilizing the method of weighted residuals with empirical eigenfunctions obtained by applying Karhunen Loéve expansion to an appropriately constructed ensemble of solutions of the PDE equality constraints for different values of the design variables.

In addition, a constructed ensemble learning model theoretically has C K D different combinations, such that the number of different combinations is deduced to reach its peak value when D = K/2.

During the work's 70 minutes, Anderson limits herself almost entirely to these small, fraying, inward vignettes, and only at the end does she expand into the dynamic, meticulously constructed ensembles that are her special strength.

Understanding the properties of SVM-based and CRF-based systems related to duration and reason, we constructed ensembles that benefit those two sets of NEs as described below.

EPP involves several major steps: (1) deriving the joint distributions of raw forecasts and observations corresponding to different canonical events; (2) obtaining the probability distributions of observations given the raw forecasts; and (3) constructing ensemble forecasts from the conditional probability distributions given the raw forecasts.

We advocate for constructing ensembles of projections based on a range of emissions scenarios, and to use carefully results from worst-case scenarios that may over/under-estimate landslide hazards and risk.

Other ways to construct ensembles might perhaps improve the quality of the predictions and are a topic of further research.