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As can be appreciated from the results, our method generated more visually coherent appearances than the state-of-the-art techniques.
We conducted investigations using a movie ratings/tags dataset with a taxonomy of SAs extracted from WordNet and a restaurant ratings/reviews dataset with an expert-created taxonomy of SAs, which demonstrated that our method generated more accurate recommendations than previous methods.
And compared with three previous works, our method generated more biologically relevant results.
Table 2 also shows that the GTDP method generated more reproducible cone density measurements (mean 0.0146 CV) than the other automated method (mean 0.0254 CV).
Also for other species examined, the Sheth et al method generated more U12 candidates as compared to the Burge et al method.
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Simulation results show that the proposed method generates more accurate HRF estimates compared to existing methods.
The results also show that the series method generate more accurate hybrid models and has a higher improvement percentage than the parallel method.
Although the this method generate more samples, a question still not answered is whether these new samples actually imply in greater representativity.
To compare 2 methods of calculating residual stromal bed (RSB) thickness after repeat LASIK, to determine which method generates more conservative RSB thickness estimates, and to determine any factors related to the discrepancy between these 2 calculation methods.
We can see as the number of samples increasing, both of the Column-Sampling and the Nyström method generate more accurate eigenvectors, and the accuracies of them are very close.
Our LPS9 method generates more accurate phylogenetic reconstructions than the previously proposed 5-tuples strategy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com