Sentence examples for datasets applicable from inspiring English sources
Using temporal linear averaging (TLA), we produced satellite-imagery datasets applicable to temporal composites for the summer seasons of three years.
Additionally by generating two types of four locus datasets - datasets with minimized three-way accuracies and datasets with unconstrained three-way accuracies - we give researchers the flexibility to pick datasets applicable to their specific study.
These data therefore often represent a baseline geophysical dataset applicable across a cross-cutting range of studies including: agro-ecological zoning, land use planning, assessments of crop suitability and production, the potential spread of pollutants, and as an economic indicator of sustainability and poverty alleviation.
We show the general relevance of these biases across different datasets, when applicable, and demonstrate how failing to normalize for these biases can potentially lead to spurious conclusions.
Therefore, this dataset is applicable to test the performance of object labeling.
The averaged confidence level of correspondence in annotation across these remaining subjects was 2.4063 ((SD = 0.6565)), which indicated that the annotated data in our dataset were applicable.
Although a major concern in the validation of a microarray-based prediction model is model transferability i.e. the usefulness of a transferred model outside of its intended use, it is also desirable that the signature developed from the internal dataset is applicable to predict future samples.
In the experience of the authors, the application of ARD is limited by the size of the datasets, being not applicable in practice to datasets with more than several thousands of datapoints, or with more than several hundreds of descriptors.
We also find that there is significant improvement in background estimates of more recent HRC-I observations with the newer applicable datasets.
Here, we introduce indirect inference, a simulation‐based estimation method that can be applied to common datasets and is applicable to SD models that often include intractable likelihood functions.
Ideally, the groups selected should be defined in the applicable datasets relating to local production, as well as imports and exports (domestic and foreign).
