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To provide an estimate of the reliability of this approach, the benchmark data were analysed to determine the variation in assembly results within recognised species and genera.
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It is shown that the capacity of the proposed algorithm approaches the benchmark and is less sensitive to the angle θ than Algorithm 1, 2 in [25].
Several of these algorithms are approaching the benchmark of the visual interpretation of the human expert, while others are at the prototype stage.
Then, to show the applicability of the proposed approaches, the benchmark stabilization of an inverted pendulum on a cart is considered.
The difference between the update rule approach and the benchmark family approach is that the preference levels are chosen differently.
The performance of pharmacogenomic approach was better than that of chemogenomic approach for the benchmark data consisting of structurally different drugs (i.e., in the case of low chemical similarity thresholds).
To compare with baseline methods, we first test our approach on the benchmark dataset CMU EDSH [1] which consists of egocentric videos containing diverse indoor and outdoor illumination and hand poses.
We first assessed the predictive performance of our approach on the benchmark dataset.
Based on comparison of the functional enrichments in CDM approach and the benchmark exemplified by [ 28], the increase in network-assisted capability to infer relevant mechanisms may be quite dramatic and certainly merits further study.
The time series methods considered in that analysis provided improved in-sample model goodness of fit assessed via mean absolute prediction error (MAPE) relative to a multiple linear regression approach, considered the benchmark model for forecasting emergency department patient volumes.
The numerical results obtained using the Lagrangian approaches for the benchmark test are compared with existing experimental and numerical results.
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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