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Cross-disability communication dataset The cross-disability dataset is more qualitative dataset than quantitative [7].
However, the JAFFE dataset is more challenging and the recognition rate is much lower than that achieved for the CK+ dataset.
In a real application, the use of one-speaker dataset is more practical because it is easier to acquire stereo data of many utterances by one speaker.
The first stage deliberately neglects the vertical offsets in the target domain so that the ability of the codebook obtained from the training dataset is more powerful to represent the corresponding subsequences.
Therefore, the comparison between the best ANFIS-GA and ANFIS-DE models signifies that despite the models' close performance in the testing dataset, the training dataset performance of the ANFIS-GA with RMSE of 0.040 is most likely trapped in over-fitting, and the ANFIS-DE result with RMSE of 0.057 in the training dataset is more reliable.
Overall, this dataset is more reliable than the previous one.
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Indeed, this dataset was more internally consistent thus contributing a better prediction ability of the models.
Using regression analysis, the authors found that the bigger labs in their dataset were more productive in terms of the overall number of papers published per year.
The percentage of dipterocarp trees in the Basuki et al. (2009) dataset was more than 50%, while we had only 30%.
The results show that logistic costs using the P2D function in this dataset were more than the SPD function and less than PD function.
In our study, the inactive compounds of the AR agonist dataset are more than 23 folds larger than the active ones.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com