Sentence examples for dataset indicate that from inspiring English sources
Evaluation results performed using the DARPA 1999 dataset indicate that the proposed approach can significantly reduce the number and percentage of false positives produced by Snort© (Roesch, 1999).
The experimental results over the KDD CUP 99 dataset indicate that CANN can improve the detection rate and reduce computational cost.
Results from tests on a real dataset indicate that the model not only significantly reduces page complexity with little impact on user navigation, but also can be solved effectively.
Simulation results obtained with the Chokepoint video dataset indicate that the proposed method provides a significantly higher level of performance compared state-of-the-art systems when a single reference still per individual is available for matching.
Experimental results on KDD CUP '99 dataset indicate that our two best IDSs use the novel architecture, and that compared to several traditional and new techniques, our proposed approach achieves higher detection rate and lower false positive rate.
Climatological results of the wind fields over Koto Tabang from an earlier EAR dataset indicate that the meridional winds are normally weak, while the zonal winds sometimes exceed about 30 m s−1.
A high R-value for a dataset indicates that the dataset contains wide overlapping areas among its categories, and classification accuracy on the dataset may become low.
An analysis of the Bristol open dataset indicates that there are numerous possibilities for the development of smart solutions.
Principal component analysis of the full dataset indicated that the variance between the two different instruments is negligible if corrected for the time of analysis.
Rigorous cross-validation on a high quality benchmark dataset indicated that the proposed predictor is remarkably superior to "iLoc-Gneg", the state-of-the-art predictor for the same purpose.
Rigorous cross-validation on a same stringent benchmark dataset indicated that the proposed pLoc-mVirus predictor is remarkably superior to iLoc-Virus, the state-of-the-art method in predicting virus protein subcellular localization.
