Sentence examples for artificially generated datasets from inspiring English sources

One might expect that artifactual datasets (such as ones with artificially flat or jagged landscapes) would allow one to draw general conclusions and indeed such artificially generated datasets tend to be consistently insignificant.

Figure 9 The three artificially generated datasets.

Despite being used in many studies, synthetic or artificially generated datasets have been shown to give a poor indication of performance on real world data [23].

However, though artificially generated datasets are potentially useful validation tools, there might be some doubt as to whether they actually represent the characteristics of the data from typical microarray experiments in terms of the fraction of differentially expressed genes or RNA quality.

To avoid artifacts, that may arise from using artificially generated datasets and to prove the benefits of the developed tool BALL-SNP, we applied it to the high-quality NGS dataset of 639 DCM patients.

AAELM are applied for fault detection on an artificially generated dataset to test the performance of the algorithm under controlled conditions and a real case study based on condition monitoring data from a combined-cycle power plant compressor.

Due to the limited size of these instances, we artificially generated dataset-3 with 600 requirements and 5 clients.

We depict an artificially generated dataset with small disjuncts for the minority class and the "Subclus" problem created in [70].

We evaluate the precision of the approach using an artificially generated dataset designed to mimic the properties of TEM data.

They measured the degree of nonstationarity using the Kolmogorov-Smirnov test whereby actual HR data were compared and correlated with a purely stationary (artificially generated) dataset.

It is expected that the datasets will be highly consistent, so the approach in this case would be to check if the model rejects the artificially generated invalid datasets.