Your English writing platform
Discover LudwigSuggestions(4)
Exact(3)
We began by comparing the errors among the ANNs generated by the BP, MW, GE-GA, and FIB-GA methods in which one randomly selected network parameter was changed to 0 (void).
By comparing the errors obtained for the binding potential, at each voxel, using the framing sequences proposed in [1] and [3], we show that clear differences arise when using different framing sequences to compute kinetic parameters.
The performance of each normalization was evaluated by comparing the errors of all CpGs between 9 technical replicate pairs, which were obtained by calculating the differences for each of CpGs between two replicates and they should be zeros theoretically.
Similar(57)
Consequently, the learning capability is measured by comparing the error between demonstrator and corresponding learner streams.
We show the sensitivity of ISCAS85 benchmark circuits configured in FPGA and validate the fault injection platform by comparing the error rate and resource utilization.
The efficiency of this method is proven by comparing the error on the outputs of steady-state models of compressor and exchangers.
Then, by comparing the error probabilities resulted from these two sets of parameters, we employ the parameter set with the lower error probability as the local minimum of the problem after re-applying the integer constraints.
An optimal SNP combination can be selected by comparing the error rates from RF analysis with variable selection.
For example, we can measure the error accounted for by adding the time series B to equation (4) by comparing the error terms of equations (2) and (4).
To avoid overfitting and to reduce the computational complexity, our previous method applies linkage disequilibrium (LD) pruning and finds an optimal SNP dataset by comparing the error rates of the selected SNP combinations from Bonferroni thresholds and p-value thresholds.
By comparing the error associated with the two model fits, we tested the null hypothesis that a common shape model was as good a fit as the optimal independent fit.
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