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The method performs well in the analyzed datasets and, importantly, gives stable performance estimates across cross-validation as well as independent test set runs.
The results demonstrate that the proposed method performs well.
Simulation studies demonstrate that this method performs well compared to most of the existing methods.
The new method performs well compared with existing multi-locus mapping methods.
The results show that our method performs well on these instances.
The experiment also demonstrated that the proposed method performs well for image classification.
The design method produced realistic greenhouses and related annual NFR, indicating that the method performs well.
The method performs well for the noise types at relatively high noise content in the signal.
We show on synthetic data that our method performs well in the traditionally challenging settings of subspaces with large intersection, subspaces with small principal angles, and noisy data.
Statistical results showed that the proposed method performs well to estimate soil heat flux for both study areas.
The results demonstrate that the proposed method performs well in comparison with traditional functional-link net and multivariate techniques.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com