Sentence examples for datasets indicates that the from inspiring English sources

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.

The selected bands for the AVIRIS datasets differ from those for the LOPEX and PROSPECT-SAILH simulated datasets, and this inconsistence of the selected bands for different datasets indicates that the GA-PLS method has the advantage of tuning the optimum bands for PLS regression and accommodating the effects of confounding factors.

Comparison of the PPARα knockout and torpor datasets indicates that the genes regulated by PPARα are involved in metabolic shifts during torpor.

The uniquely inferred real variants are 11 for V-Phaser and 13 for V-Phaser 2. The high percentage of overlap in inferred real variants for both 454 datasets indicates that the two programs are highly consistent.

Overall, our performance analysis based on simulated datasets indicates that the BIC together with DT should be preferred for model selection in phylogenetics, although some of our results departed from this general finding owing to specific simulation settings such as values of the proportion of invariable sites.

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%.

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.

Assessments using RS126 and CB513 datasets indicate that the CPM method can achieve average Q3 score approaching 83.99% (SOV99=80.25%) and 85.58% (SOV99=81.15%).

Extensive experiments employing the proposed algorithms using datasets indicate that the algorithm performs well and favorably compared to the already existing level set-based methods in the literature.