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Moreover, some potential approaches (e.g., deep learning-based approaches) to gait-based age estimation are expected to be achieved only after using this dataset, because the deep learning-based approaches usually requires a sufficiently large amount of training samples, although this paper evaluated only the existing techniques which do not rely on deep learning.
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Using this dataset, we test two hypotheses.
The presence of error in the dataset, however, does not preclude an analysis using this dataset.
Using this dataset we performed five-fold cross-validation tests.
The classifiers were trained using this dataset.
Using this dataset we first conducted principal component (PC) analyses using the 'prcomp' function in the R environment, after scaling the matrix to unit variance.
Using this dataset, we have now investigated factors that influence the reoperation rate after hemiarthroplasties in general and due to specific complications.
Relevant research papers that have used this dataset are listed.
We use this dataset as the detrended dataset in the following analysis.
Earlier this week some of the site's engineers decided to use this dataset to measure something a bit more fundamental: happiness.
We used this dataset to for our evaluation.
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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