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Exact(10)
The results reveal that the present model is competitive to most existing ones.
Our findings show that the random walk model is competitive from the standpoint of point predictions for Spanish yield curves.
Qualitative and quantitative results demonstrate that the proposed RAPT model is competitive in E-nose signal shift standardization.
Their results show that the set packing model is competitive and can be used to solve real-life problems.
Experiments using the 2010 i2b2/VA relation corpus demonstrate these models, which do not depend on any external features, outperform previous single-model methods and our best model is competitive with the existing ensemble-based method.
The results show that the proposed model is competitive in terms of accuracy when compared to RSM and proves to be superior to the RSM model in terms of computational cost.
Similar(50)
Therefore, these seven competitive models may be categorized into a common group of models that provide an intermediate fit to the Kachchh catalog.
The effective macro-dispersion model and dual-porosity model are competitive approaches for such predications.
Since the standard features (without auditory model) are competitive in the monophonic variant, the benefit of auditory model features seems to be an enhanced ability for separating different instruments in a polyphonic environment.
The simple AURKA model was competitive in all the datasets.
Similarly to the risk score prediction, the simple AURKA model was competitive in all the datasets.
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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