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Another big break was in mid-March, when searchers found a data recorder from the shuttle.
Before time ran out, she found a data entry job in New Jersey making $15 an hour.
But the servers were indeed an issue of the machine's design; when his firm tested them weeks later, it found a data bottleneck that would need to be fixed with a software update.
If the content is found, a Data packet will be sent as a reply; otherwise, it will check whether there is a corresponding entry in PIT.
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So, the good news: Comcast wants to find a data cap level that consistently works for "the vast majority".
The dc-MTAS problem is formally defined as: Finding a data aggregation schedule S which minimizes D s.t.
If it cannot find a local data block, the JobTracker would then attempt to find a data block that is located on certain node that is on the same rack as the TaskTracker.
The objective of the solution is to find a data chunk allocation that maximizes the delivery utility of all data chunks.
In order to expand the abovementioned mini example for further experiment, one instant thought is to find a data set from real-world applications.
In particular, the paper provides a simple data-analysis of three developed countries (Spain, Sweden and the USA) to find a data pattern similar to data patterns in dictator game experiments.
Following LLORMA to get the sub-matrix, we firstly find a data point (a_i=langle u_i, m_i rangle) in the data point set ({mathcal {A}}={a_1, a_2,ldots, a_{|{mathbf {R}}|}}) as the anchor point ({hat{a}}_h).
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