Sentence examples for previously labeled a from inspiring English sources

Exact(1)

Malaysia had been previously labeled a "Tier 3" country -- the worst possible category on the list.

Similar(59)

While he's been previously labeled an actor, he has only a handful of credits to his name in forgettable movies.

He said that although he had previously labelled a gas reservation scheme an "investment killer", the export restriction would allow Australia to meet predicted shortfalls without the "blunt mechanism" of reservation.

David Cameron and Theresa May have also used the Paris attacks to argue for increased powers of surveillance by reviving the abandoned draft communications data bill, previously labelled a "snoopers' charter".

In his main speech to the convention, on Saturday, Porter accused Obama, whom he's previously labelled a "fake President," of "meeting and plotting with the Who's Who of the gun-ban movement, scheming to create a gun-ban bureaucracy".

The bill also creates new offences that only apply to current and former intelligence operatives and contractors in a move which appeared to directly address the risk of documentary disclosures being made following revelations by the US National Security Agency whistleblower Edward Snowden – whom Brandis has previously labelled a "traitor".

Separate offences have also been created that only apply to current and former intelligence operatives and contractors in a move which appeared to directly address the risk of documentary disclosures being made following revelations by the US National Security Agency whistleblower Edward Snowden – who Brandis has previously labelled a "traitor".

We identified a total of three significant (at our criteria outlined previously) QTL, labeled A-C.

Interestingly, it is also found in classical toxin-antioxin systems, where it is typically paired with a distinctive antitoxin (previously labeled as a domain of unknown function, DUF2384 in the PFAM database).

The second algorithm is a novel transfer learning method which permits the knowledge present in data that has been previously labeled in a related domain to be transferred to a new domain.

Our second algorithm is a novel transfer learning method [e.g., [11]] which permits the knowledge present in data that has been previously labeled in a related domain (say online movie reviews) to be transferred to a new domain (e.g., reviews of consumer products).

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