Sentence examples for both real datasets and from inspiring English sources

Extensive experiments show the effectiveness of the proposed algorithm on both real datasets and synthetic datasets.

We conduct experiments using both real datasets and synthetic data to demonstrate how our proposed recommendation components significantly improve the effectiveness and robustness of existing WCES.

For both real datasets and our synthetic datasets generated using the parameters with (N = 100,000) points, we conduct testing 100 times for a TSP query with n points randomly selected, and report the average.

The proposed approach is extensively evaluated with three state-of-the-art approaches on both synthetic and real datasets, and our approach outperforms the other approaches in terms of both computation time and accuracy.

To assess the performance of the proposed BiMine algorithm, we show computational results obtained on both synthetic and real datasets and compare our results with those from four state-of-the-art biclustering algorithms.

Note that both our real dataset and our simulations had relatively high heritabilities; however, we expect that our conclusions can be extended to traits with lower heritabilities.

More specifically, for both large real datasets (E. coli and B. subtilis), both methods perform better than various baselines (no PKIs), with up to 10 FPIs for each true prior interaction.

We studied the proposed algorithms on both real and synthetic datasets and confirmed their effectiveness in integrating large volume of ontology datasets.

Additionally, experimental results on both synthetic and real datasets demonstrate the efficiency and effectiveness of the pattern-based biclustering algorithms proposed in BicPAM.

Application of this information gain standardized (IGS) approach is evaluated for both simulation and real datasets in the Results and Discussions.

We evaluate our system on both synthetic and real datasets involving multiple physical scenes, and demonstrate that our system performs well on both physical state estimation and reasoning problems.