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The approach obtained optimal strategies by using parallel Relay networks.
They observed that the hybrid approach obtained the best results, although the number of extracted candidate terms was median.
The former approach obtained a GMFE of 2.61, versus a GMFE of 2.33 for the baseline approach.
Students that followed this active learning approach obtained better results than those that followed a traditional strategy.
Owing to the use of a robust classifier and an effectively feature extraction method, our prediction approach obtained good prediction results.
Compared with traditional methods, the present approach obtained higher extraction yields of myricetrin, quercitrin and afzelin, which were 3 5 times of those obtained with traditional methods, respectively.
Similar(30)
The results demonstrate that our approach obtain the better profit than other five approaches.
Once again, the proposed approach performs best, while Bea approach obtains slightly inferior performance.
This approach obtains better results regarding optimization in large and dense networks.
In this case, data were analyzed by a chemometric approach obtaining a correlation coefficient of 0.991.
With using exhaustive pairwise image matching, this approach obtains image connectivity graph.
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