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Robust implementations of distributed system identification algorithms based on detailed space and time experimental data have an important role in practical applications.
Based on the well-developed theories on multiple-view geometry, they adopt robust implementations like statistical methods to produce solutions that can work well under general scene settings.
The primary goal of this service is to detect when a replica is down, but robust implementations can also follow the health indicators of an application (CPU and memory utilization, disk, and network I/O, time to respond requests) which will help to detect when a replica is malfunctioning [17].
Overall, we have shown that improved supertree methods are possible and that an effort should be made to produce scalable and robust implementations of the most accurate supertree methods.
Our results show that supertree methods that improve upon MRP are possible, and that an effort should be made to produce scalable and robust implementations of the most accurate supertree methods.
Similar(55)
To implement these spatial interventions, robust implementation strategies are needed.
This requires policy makers and implementers to develop a robust implementation plan.
There was insufficiently robust implementation of audit reports [which are provided to the board to assess risk].
Efficient and robust implementation is achieved through an octree data structure with 2 1 balance.
"Our experience suggests that companies are more motivated to undertake robust implementation of commitments if rewards come after, not before, it is carried out and independently verified".
We identify a robust monotonicity condition that is necessary and (with mild extra assumptions) sufficient for robust implementation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com