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The detailed label data are available from the authors.
Detailed label data are available from the authors.
Generic food composition data derived from national food composition tables (17) are used for fresh produce or in cases in which package label data are not available.
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During remote image classification, accurately classifying ships with insufficient label data is a well-known challenge.
To facilitate analysis and evaluation, the semantic human label data were processed as follows.
Let this label data be encoded as vectors dT∈ℜnT, dS∈ℜnS, and w∈ℜ|V|, respectively.
Medication label data were aggregated by active ingredient, and the median nausea rate was calculated for each of the 163 medications.
We note that a smaller number of label data is the most interesting case for our algorithm, because it is not reliable for classification prediction due to the inadequacy of supervision knowledge in the labeled dataset.
We note that a smaller number of label data is the most interesting case for our algorithm because it is not reliable for prediction due to the inadequacy of supervised knowledge in the labeled dataset.
The multi-label data are structured in a more complex way than single-label data.
ORP has an ability to deal with classification tasks in which the labeled data are insufficient.
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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