Sentence examples for dataset our method from inspiring English sources
Applied to a commercial codling moth dataset, our method shows promising performance both qualitatively and quantitatively.
By applying SPL with this loss prior to the FCVID dataset, which is currently one of the largest manually annotated video dataset, our method achieves state-of-the-art performance above existing methods, which further supports the proposed theoretical arguments.
On this CinC dataset, our method performed well relative to the winning entry.
In the lung cancer dataset, our method gives better classification accuracy with decision trees than other competing methods except reliefF.
In case of Glass dataset, our method yields around 60 70% classification accuracy for decision trees, random forest and KNN classifiers whereas classification accuracy with SVM is only 22 24%.
We note that the UCF Sports dataset, the proposed method obtains at least 0.8% improvement and obtains 92.8% accuracy; for the HMDB51 dataset, there is at least 1.5% improvement compared with other methods and obtains 58.2% accuracy; for the YouTube dataset, our method outperforms 0.7% than the others and obtains 89.6% accuracy.
As all of the first three BCI competition winners have used all three bipolar channels (C3, Cz, and C4) provided by the dataset, our methods not only generate good performances but also use less channels, which indicates that they may also be helpful for channel reduction.
In both datasets our method successfully detects processes operating on several different time scales.
Compared to a phylogenetic footprinting (PF) based method on several datasets, our method shows comparable or even better prediction accuracy.
When compared with the state-of-the-art prediction models in the two benchmark datasets, our method demonstrates better performance.
On testing datasets, our method LRAcluster (low-rank approximation based multi-omics data clustering) runs much faster with better clustering performances than the existing method.
