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The proposed method outperforms traditional classifier based on the support of vector machine.
Although the method outperforms traditional iris recognition methods particularly facing nonideal images, it fails to capture much essential information.
We observe that our proposed method outperforms traditional GLTP by 0.4 to 0.7% in cross-validation testing and 0.5 to 0.7% in leave-one-out testing for six and seven classes of emotion respectively.
In the experiments we show that our proposed method outperforms traditional JPEG color coding by a large margin, producing colors that are nearly indistinguishable from the ground truth at the storage cost of just a few hundred bytes for high-resolution pictures!
Using simulations, we show that our method outperforms traditional consensus methods in reconstructing the correct species tree in the presence of AGTs.
Using quantitative transcriptomics data acquired from Saccharomyces cerevisiae cultures under two growth conditions, the method outperforms traditional approaches for predicting experimentally measured exometabolic flux that are reliant upon maximisation of the rate of biomass production.
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The results of the computerized simulations showed that the proposed method outperformed traditional methods, such as List-wise deletion, in terms of accurately and stably identifying MI.
Specifically, more recent samplers including our novel methods outperform traditional samplers for highly interconnected large networks with strong gene-to-gene signaling.
Extensive experimental results suggest that the proposed method significantly outperforms traditional solutions.
For CCPs problem, the experimental results demonstrate that the proposed method outperforms several traditional methods.
The simulation results reveal that the suggested method outperforms the traditional methods.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com