Sentence examples for benchmark in multiple from inspiring English sources

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For public Cloud providers, we do not account for multicore systems, but for our private Cloud we do show the impact on the underlying physical system of running the benchmark in multiple virtual machines.

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+ = used in benchmarking case study - = not used in benchmarking case study In multiple case study 1, we expanded Spendolini's benchmarking process [ 5] to include a framework that structured the indicators (Table 2, step 6), ensured comparability and covered all relevant aspects.

Table 2 shows the benchmarking process used in multiple case study 2. Compared to study 1, we added step 4. In this step we verified the comparability of the partners using the patient case mix (based on the ICD-9 coding system and treatment urgency) and the services delivered by the CDU.

For this reason, it has been used to benchmark HLA prediction algorithms in multiple studies.

One of the first collections used in multiple benchmarking studies was data for eleven targets taken from the MDL Drug Data Report (MDDR) [13, 15, 17 21] However, the MDDR, a commercial product, places limits on redistribution of the data, hindering the development of an open validation set.

The author has no interest in benchmarking multiple sequence alignment programs, no interest in making fun of others' work and no other competing interests.

The benchmark results (Table 5) are presented in multiple sections: immigration variables, macro controls, and demographic controls17.

In multiple case study 1 the benchmarking process was based on Spendolini's benchmarking process [ 5] (see Figure 1 and Table 2).

The National ED Inventories (NEDI) survey has been used in multiple countries as a standardized method to benchmark ED characteristics.

The different operations tested by the benchmark show multiple actions and their application in the memory of the different virtual machines.

By comparing with the single classifier as the benchmark in terms of average prediction accuracy, the multiple classifiers only perform better in one of the three datasets.

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