Sentence examples for utilizing an ensemble of from inspiring English sources

In this work, this limitation is resolved by introducing ensemble-based regularization based on utilizing an ensemble of unconditional realizations of the reservoir model.

Comparison of the numerical results, for three example buildings in Los Angeles, Seattle and Boston, obtained by the approximate response spectrum method and accurate time-stepping method utilizing an ensemble of base motions indicates that the response spectrum methods can provide a good estimate of the failure cost for a quick performance-based evaluation of different design alternatives.

The proposed classification scheme utilizes an ensemble of one-class classifiers, which is built with the feature subset strategy; each one-class classifier is trained with one type of features extracted from the training images.

Both versions utilize an ensemble of artificial neural network (ANN) with different network structures and initialization parameters, while the main difference is the way of determining the binding core.

As the Creator and Executive Producer of the Law & Order franchise, a groundbreaking series that aired for roughly 20 years, Wolf utilized an ensemble cast of 6 people throughout its history, only having a total of 26 guests on the show in its 20 seasons.

Because of its simplicity and robustness [ 32], we utilized an ensemble averaging of univariate logistic regressions.

The Incremental Dynamic Analysis (IDA) procedure was utilized with an ensemble of 44 scaled historical ground motions to construct structural and nonstructural fragility curves for various performance objectives.

Two datasets were utilized to assess these criteria: an ensemble of five ATP-bound cAMP-dependent protein kinases, and the PDBBind-refined set (2014) [29].

Cheng et al. [22] utilized the Custom Pictorial Structure (CPS) to extract an ensemble of features considering both part-based color information and color displacement for person re-identification.

This algorithm builds an ensemble of classifiers by utilizing a specified base learning algorithm to successive obtained training sets that are formed by either resampling from the original training set or reweighting the original training set according to a set of weights maintained over the training set [ 20].

In order to infer the hierarchical organization of these modules, we utilized a bootstrap ensemble, from which we estimated an ensemble of networks.