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That's why your examples need to sound human.
While these two studies do show that informal science educators can bridge the gap between university science research and local high-school students, clearly more examples need to be produced, and studies performed, to prove the efficacy and viability of this model.
Obviously these auxiliary training examples need to be good estimates of the actual interaction status of the corresponding object pairs, for expanding the training sets by wrong examples could further worsen the learned models.
At the very least, several other examples need to be shown, perhaps as figure supplements, to show that the effect of distance on waveform isn't just some idiosyncrasy of this particular cell pair.
Sports and impact activities — pickup basketball and skating, to name some examples — need to be done with extra caution or not at all.
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Studies in several domains have successfully applied AL in order to improve the efficiency of labeling examples needed to maintain the performance of an ML classifier.
Ms. Cobb's young sons, for example, need to get back to school.
The pieces of pine, for example, need to be 32 inches in diameter and 40 feet long.
States, for example, need to encourage the creation of high-performing charter schools and develop strategies for turning around chronically failing schools.
They might, for example, need to guide their horse away from danger in an emergency.
Both agencies, for example, need to track space junk that can be a hazard for satellites and spacecraft.
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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