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We find that the dynamic BL model outperforms a range of different benchmarks.
When evaluated against 2970 observations, the snow density model outperforms a regionalised density-time curve reducing biases from −0.027 g cm−3 to −0.004 g cm−3 (7%).
Furthermore, the model outperforms a wide set of alternatives, such as its previous version and MIDAS regressions, although not a specification including also hard data.
This model outperforms a kNN model (RMSE of 48.3°C, R2 of 0.47) for the same data and has similar performance to a Random Forest model (RMSE of 44.5°C, R2 of 0.55).
The CA-based LUTI model outperforms a similar stand-alone CA-based model, which indicates that land use and transport interact and that models for understanding urban dynamics benefit from including the feedback between both systems.
We used the model presented in Section 3.2, 31-322), and actualuaLDCPAPA decoder [9] to determine the interval in which at least one of the addressed RA BCH codes, evaluated by the model, outperforms a LDCPA code having a length of 1584.
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A one tailed binomial test was used to determine whether the niche model outperformed a random model predicting the vector to be present in the same number of cells [11].
However, by fitting our models using multifractional models, no non-linear model outperformed a standard linear model in our sets of data.
The present NN-model outperforms a selection of data and proposes an efficient NN-based algorithm for shockwave position estimation as the key nozzle geometry parameter.
Experimental results show that Coxian modeling outperforms a range of baseline models for the task of activity segmentation.
In both tests, the TDB model outperforms all other strategies.
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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