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We illustrate the implementation of the proposed FSL scheme using two real datasets.
We test the proposed method using two real datasets and one simulated dataset.
Subsequently, we have evaluated the missing data methods using two real datasets, mainly to evaluate the feasibility of implementation.
The performance of AlphaImpute was tested using two real datasets, a pig and a bovine dataset that had genotype information spread sparsely across multiple generations.
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Various experiments were performed by using four real datasets and two groups of synthetic datasets.
In [11], the authors used two real datasets (i.e., temporal and spatial) to estimate the energy savings, and they used a greedy algorithm by sequentially switching off the BSs with the minimum distance to its nearest active BSs if the coverage is met.
We used two real datasets in the case studies.
We considered four simulation scenarios defined by the parameters in Tables 1 and 2. We used two real datasets to get marker information and estimates of the marker, block and error variance components, which we needed to simulate the true breeding values and phenotypic data, assuming correlated genotypes (Tables 1 and 2).
We use three real datasets and simulation studies to demonstrate the utility of these dynamic methods in temporal analysis.
The approach has been implemented as a set of plug-ins within the open source process mining framework ProM and has been evaluated using two real-life datasets from the insurance domain to assess the usefulness of such a tool.
Prediction accuracy was evaluated using two real-world datasets.
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CEO of Professional Science Editing for Scientists @ prosciediting.com