Examples of using Could predict in English and their translations into Greek
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Colloquial
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Official
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Medicine
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Ecclesiastic
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Financial
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Official/political
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Computer
then we asked whether the properties of the speech could predict, within a window of almost three years,
Home/ health/ Alzheimers blood test could predict onset up to 20 years in advance.
Charlie could predict the amount of walks I was gonna get just by my stance.
Now, for the first time astronomers could predict where a planet would be in accordance with a simple
the more important question was whether any parameters could predict individual responses.
Naturally no one could predict the lightninglike way in which this idea would succeed
Even though scientists could predict what early whales should look like,
cause the greenhouse effect to go out of control, the consequences of which no one could predict.”.
Naturally no one could predict the lightninglike way in which this idea would succeed
Moreover, the EEGs could predict- weeks in advance- which test subjects were Insightfuls
The findings echo a study in April showing that the number of mentions of a film on Twitter could predict its opening box-office take.
In ancient Rome, a Haruspex was someone who could predict the future by reading the entrails of sacrificed sheep.
The researchers also noted a trend toward improvement in certain biomarkers that could predict cancer development.
measured the interval between the same phases(29.5 days), could predict the next Eclipse of the moon.
We then sought to determine which of these factors could predict mortality in the ensuing years.
Quake's team found that RNA levels from seven genes could predict preterm labor with an even higher level of accuracy.
researchers could predict which users had depression based on what filters they used(or didn't use).
Kosinski's model could predict a subject's answers better than their own partner.
For example, Blumenstock could predict with 97.6% accuracy if someone owned a radio.
(2010) built a machine learning model that could predict the human classification of a galaxy based on the characteristics of the image.