Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
Predicted results obtained by the hybrid methods are closer to the field data compared to the outputs of analytical and simple ANN models.
According to this, Fig. 7a shows how the average UDR values of both methods are closer, less than 2%% for HPLM and over 2%% for MR. Baseline keeps high UDR around 7%%.
Cooperative transcription factors predicted by all methods are closer and more clustered in the protein interaction network than expected by chance.
Similar(57)
The results obtained from the two methods are close.
The inversion results from the GCV, S-curve, and the slope of L-curve methods are close and satisfactory.
The slope of L-curve method needs less calculation than the S-curve method does, but the T2 inversion results from these two methods are close.
Simulations showed that for practical SNR ranges, the performance of the proposed methods are close to the genie-aided system, even for low-order regression selections.
We anticipate that these non-traditional food production methods are close to being better in cost and efficiency.
At δ = 3, all three methods are close but spread out at δ = 1.
The MRN, ToCo and NoNo normalization methods are close to the 5 methods cited above but not in the same way for both transitions.
We see that the mean estimates from the 2SLS and likelihood-based methods are close to the true values, with some deviation depending on the direction of confounding.
Write better and faster with AI suggestions while staying true to your unique style.
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