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The first experiment is designed to compare the models outputs with those from experiments.
The processor 0 compares the roadside models (outputs of the different search hypotheses) to look for the best solution.
All three models outputs correlate well with the subjects' mean thermal sensation votes in linear regression (R2 ≈ 0.9).
The influence degree of each input parameter on the models' outputs was investigated quantitatively using the relevancy factor.
To address this need, we are introducing a new virtual platform called Catchment virtual Observatory for Sharing flow and transport models outputs (COnSOrT).
In this section, we present an overview of some of the common datamining techniques that have been used to analyzed agent-based models' outputs.
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Both our linear and quadratic models output good predictions of eve stripes 3 and 7.
Illustrative model outputs are also presented.
Validated model outputs have multiple uses.
The maximum output is 0.9W at.5V while the four-cell model outputs 3.2W at 2V.
The model outputs provide the labels for semi-supervised learning.
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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