The phrase "accepted prior" is correct and usable in written English.
It can be used in contexts where you refer to something that has been acknowledged or recognized before a certain point in time or event.
Example: "The committee reviewed the accepted prior research before making their decision on the new proposal."
Alternatives: "previously accepted" or "acknowledged earlier".
"She accepted prior to Lieberman's name surfacing as the vice presidential candidate," he said.
As the ability of Hadoop cluster is limited, in order to maximize the total profit, the tasks with a bigger profit ratio should be accepted prior.
In general terms, reliable inputs (or inputs from reliable SUs) must be appropriately filtered and accepted prior to the execution of the fusion and decision processes.
"Both players had accepted prior to the hearing that their actions had warranted a red card," read a statement, released by the autumn international disciplinary.
Upon the features of MapReduce tasks, we mainly consider the following two aspects: As the ability of Hadoop cluster is limited, in order to maximize the total profit, the tasks with a bigger profit ratio should be accepted prior.
England batsman Ian Bell accepted Prior's absence was a concern with the Ashes series just over a week away but was hopeful he would recover in time.
We observed a low degree of variation in the number of accepted priors when the models are generated using the database driven priors.
The models generated using the database driven priors had significantly higher accepted priors compared to the randomly generated models (p < 0.05 Student's t -test for H0: μpsrandom = μpsdatabase-driven).
The Middle East "quartet"—America, Russia, the European Union and the United Nations says Hamas must end violence, sign up to a two-state solution and accept prior agreements made by the PA.
In addition, modification is made to allow PDA detector to accept prior information and then workable in turbo BS cooperations.
Rayana and Akoglu [21] propose a framework to detect suspicious users and reviews in a user-product bipartite review network which accepts prior knowledge on the class distribution estimated from meta-data.
