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Others have proposed different continuity corrections that perform better when the numbers of patients in the intervention and control groups are severely imbalanced [ 5].
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We observe that gaussian approximation matches better and better when the number of mobiles increases.
As shown in Fig. 8b, iiHadoop performs better when the number of nodes increases.
GridTS is better when the number of tasks executed per resource is high.
Experimental results show that the mobile agent paradigm performs much better when the number of nodes is large while the client/server paradigm is advantageous when the number of nodes is small.
The results show that both SVR-rbf and SVR-poly methods perform better when the number of input variables is higher, and there is no compaction in the non-dimensional input variables.
EDF performs better when the number of MS is less, as each MS does not generate packets all the time, and hence there are far fewer MS requesting for bandwidth.
These results indicate that AutoTL performs better when the number is around 10. When the number of selected web pages is too small or too large, the performance decreases, which is in accordance to the fact that when the number of selected web pages is too small, the source data can not get enough feature information in the training which may decrease the performance.
In some of the cases, the results are better when the number of hidden neurons is higher, but for detecting targets in spiky K-distributed clutter, very good results are obtained even with a low number of neurons in the hidden layer.
For all datasets, the accuracy of NB-HNB is better when the number of selected genes is larger than 16.
By ignoring such correlations, one avoids having to estimate many parameters, and obtains a method that performs better when the number of samples is small.
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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