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The experimental results reveal that our ontology-based topic model method outperforms a traditional topic model method.
By learning the implicit vehicle model through a MSNN, our method outperforms a baseline blob detection method.
We conduct experiments on both synthesized and empirical datasets, and extensive results illustrate that the proposed method outperforms a state-of-the-art algorithm in terms of detection quality and speed, which sheds light on its wide applications to various complex networks with dynamic structures such as rapidly growing online social networks.
Yu et al. [30] propose an ensemble based on GA wrapper feature selection, wherein they use three real-world data sets to show that the proposed method outperforms a single classifier employing all the features and a best individual classifier is obtained from GA based feature subset selection.
The authors clearly show that their method outperforms a series of state-of-the-art methods using appropriate benchmarks.
We showed in simulations that the new method outperforms a panel of MDS-based approaches, including ChromSDE, which optimize an often ad hoc stress function.
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In the first scenario, our method outperforms an existing topology-aware method particularly for complex inputs and higher genus constraints.
The results show the fast convergence of the solution method outperforming a commercial state-of-the-art solver.
Moreover, it has been observed by our recent experimental study that no single method outperforms all others over a wide array of different applications (Plewczynski et al. 2010b).
At the lowest outbreak magnitude, the STL method outperforms all other methods by a difference of 10% sensitivity.
For the text classification test, the HFA method outperforms all methods tested by an average of 1.5 standard deviation.
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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