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This is not surprising and in fact lies at the inherent difference between semi-supervised and supervised methods unlabeled examples could make the trained model susceptible to error propagation and thus wrong estimation.
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Perhaps Cole, for example, could make a start so that the Nationals could assess his progress.
The question of whether Uber drivers are employees or independent contractors, for example, could make or break the company.
An unforeseen safety issue in a clinical trial, for example, could make a change of the preplanned number of interim analyses and their sample sizes appropriate.
Practices, for example, could make more explicit the fact that any requests to see a clinician would be fulfilled within 72 hours rather than 24.
Pelosi, for example, could make changes to party rules that would grant more power to rank-and-file members, as Matt Glassman, a Georgetown political scientist, has said.
A thermostat placed in the kitchen, for example, could make your device "think" your house is warmer than it truly is.
Museums and historical sites, for example, could make good use of AR: the Forum in Rome could be scanned, triggering a computer-generated reanimation of the ruined site to its former glory.
Andy Jassy, leader of all things AWS, noted that General Electric, for example, could make use of the computational functionality at its wind farms.
If setting an example could make states and their leaders do the right thing, then the United Nations might be on the right track.
Their best anti-aircraft systems in Iran, for example, could make that troublesome nation virtually invulnerable to attack from Israel or the US.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com