Sentence examples for datasets indicated that the from inspiring English sources

Their experimental results for the real datasets indicated that the proposed hybrid model can be an effective in improving forecasting accuracy achieved by either component.

Moreover, a simulation study using plasmode datasets indicated that the estimated fold-change in pairwise comparisons was the same using either linear mixed models or a comparative CT method, but the linear mixed model approach was more powerful.

Tests conducted on simulated as well as real datasets indicated that the new algorithm works well and outperforms methods based on global correlation measures, especially when there is substantial noise and moderate distortion in the data.

Clustering analysis of the datasets indicated that the two SE developmental stages clustered closest to the profile of the mature developmental stage of ZE as might be expected.

Significant pairwise FST values between the majority of the study sites using all datasets (60 loci, 59 loci and Her 14 datasets) indicated that the genetic differentiation is not driven by a single outlier site.

PCA and unsupervised clustering on the 12 individual hybridization datasets indicated that the number of amplification rounds has an obvious effect on measured signal intensities, which cannot be explained by expression differences.

Experimental results on two large real datasets indicate that the proposed incremental slope-one recommenders can correctly reflect the increments of dynamic datasets with high computational efficiency.

The test results of the ISPRS datasets indicate that the proposed algorithm achieved low commission errors ranging from 1.53% to 6.91%.

An extensive experimental comparison with two public EEG datasets indicates that the MKELM method gives higher classification accuracy than those of the other competing algorithms.

Extensive experiments on several commonly used image SR testing datasets indicate that the proposed method achieves state-of-the-art image SR results.

Experiments on two real-world datasets indicate that the quality of learned semantic vectors and the performance of social emotion classification can be improved by our models.