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We now demonstrate the experiment performance of the proposed derivative-free trust-region method.
LW, DM, GF, WM, ZZ and BH contributed to experiment performance, data analysis and drafted the manuscript.
In the first experiment, performance of P D and MSE has been fully investigated from different numbers of SU_Rs.
To greatly improve the experiment performance, the front-end of the experiment is mounted on the top of the balloon.
Both will serve as prototypes for future real-time diagnostics, which shall be able to deliver processed data in real-time to other systems — especially experiment control — to achieve a possibly better experiment performance.
JS contributed to the experiment performance and data analysis.
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Some papers like [35] used PCA for improving their experiments' performance.
In the experiments performance of word count and sentiment analysis algorithms was tested.
When nodes were added in word count experiments, performance increased up to 4 nodes with both technologies.
Through different physical and chemical experiments, performance of the horn was compared to a typical horn driven at 20 kHz.
The stochastic learning process is guided by priors devised from the psychometric subjective experiments (performance through simulation).
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