Sentence examples for benchmarks needed for from inspiring English sources
In this section, we begin by briefly describing the resources used for the experiments: the GO, the GOA database that provided both the knowledge base needed for the machine learning and the benchmarks needed for the evaluation, and the BioCreative I test set that was a supplementary benchmark for our evaluations.
In addition, "benchmarks" are needed for industrial and commercial waste, similar to targets which have been set for domestic rubbish, to make it clear if companies are doing their bit to cut waste and boost recycling.
Therefore, the best heuristics suggested by the TSPLIB and the existing benchmarks need to be reconsidered for LBS setting.
Cloud Computing benchmarks need to offer up comparability for all parts of the IaaS, and should also be informative about all parts of the lifecycle of cloud system use.
Cloud Computing benchmarks need to be able to account for the components of the Cloud "machine".
If the group expelled AfD, it would still be comfortably clear of the benchmark needed to qualify for group status and the public funds that go with it.
Reviewing the existing policy in Europe [ 31] and general statements [ 32- 36], it becomes clear that institutional operating figures and benchmarking systems are needed for research evaluation and funding policy.
This greatly reduces the effort and expertise needed for benchmarking with complex component and Web service technologies while being fully MDA standard compatible.
While properly calibrated class membership probabilities are favourable for decision making, they are not needed for benchmarking.
Designing a whole benchmarking and validation strategy needed for finding which network aligners best predict protein interactions and for precisely comparing such predictions with the ones of traditional predictors are out of scope of this study.
To achieve this benchmarking, four input parameters were needed for the Probit model from which all other variables are derived: disease prevalence, number of risk loci, frequency of risk allele and heritability on the liability scale (that is, K, n, p and ).
