Sentence examples for substantial experiments on from inspiring English sources

Substantial experiments on real-life datasets show that the proposed algorithm has better results compared to the state-of-the-art GA-based algorithm.

Substantial experiments on real-life datasets show that the proposed algorithm outperforms the other heuristic algorithms for mining HUIs in terms of the number of discovered HUIs, and convergence.

Substantial experiments on both real-life and synthetic datasets show that the designed algorithms can efficiently and effectively discover the complete set of HUIs in databases by considering multiple minimum utility thresholds.

Through substantial experiments on two real datasets, we show that P-CENI can run in a similar time as I-CENI and C-CENI, while still preserves or even improves the effectiveness of state-of-the-art network inference algorithms in terms of the F-measure of inferred edges.

Substantial experiments on both real-world and synthetic datasets show that the proposed PSO2DT algorithm performs better than the Greedy algorithm and GA-based algorithms in terms of runtime, fail to be hidden (F-T-H), not to be hidden (N-T-H), and database similarity (DS).

Through substantial experiments based on two datasets, the results demonstrate that the proposed approaches only need around 20 50 % of the running time of the compared state-of-the-art approaches.

Substantial experiments both on real-life and synthetic datasets show that the three proposed algorithms can efficiently and effectively discover the complete set of SPHUIs, and that considering the short-period constraint and the utility measure can greatly reduce the number of patterns found.

Substantial experiments were conducted on both real-life and synthetic datasets to assess the performance of the two designed algorithms in terms of runtime, number of patterns, memory consumption, and scalability.

Substantial experiments have been conducted on sixteen UCI data sets to show the performance of our method.

Substantial experiments show that algorithms based on the TRASMIL framework outperform existing methods in effectively detecting the trajectories with local anomalies in terms of the whole trajectory.

The results of a substantial experiment in landscape ecology, conducted on a 1000-ha area in the past decade, demonstrate that small-sized, unused patches and linear structures connecting them are important parts of a protective concept for nature conservation.