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Campaigns like this one are immersive, easy to adopt, and often meet an "unseen" need.
Cuntoor et al. [17] present a system that jointly segments and classifies events but the number of events in an unseen trajectory needs to be suitably controlled by a scale parameter.
The generalization of this system to other unseen test sets needs to be validated.
As the name implies, dance moves go virtually unseen, and visitors needn't bother looking cool.
To enter a world in which you dine on unseen nutrients, you need lots of expert help.
To get an unbiased estimate of model performance in new unseen data, we need to measure performance on a data set that has not been used for any decision-making.
In order to get an unbiased estimate of prediction accuracy in new unseen individuals, we need two mutually exclusive data sets: a training set which we use to perform feature selection and to estimate model parameters, and a testing set which we use to estimate the prediction accuracy of our predictive model.
A ghost story should snap shut firmly, a door shut by an unseen hand: the otherworldly needs that artificial closure, or everything gets swallowed up in fear.
Yet people seldom offer to help the woman who struggles to hoist me from the car seat, push my chair up to the restaurant table or quietly cope with my unseen, round-the-clock needs and demands.
Where do we need to improve the visibility of disease burden through better epidemiology and health systems infrastructure are there marginalized or unseen populations affected, whose needs could be more directly served?
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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