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To determine whether M-scaling can have a measurable ameliorative effect in such cases, we carried out Experiment 3 using a different, randomly chosen trio of categories in which the informative fragments were 20×20 pixels (or 0.36°×0.36°; Fig. 9).
Since 50 classifiers are trained for each TF each using a different randomly chosen negative set, the reported accuracy is an average over 50 trials.
Instead, a collection of decision trees is constructed using a different randomly chosen (bootstrap) sample of two-thirds of the data for each tree.
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Analyses on set (iii) were repeated ten times, each time using a different set of randomly chosen F2s, and the average predictive abilities and bias were calculated.
One thousand iterations, using a different negative set of randomly sampled regulatory SNPs were generated for each of the 13 disease states (e.g. diabetes) under study.
EBC was randomly collected from each subject using a different sequence of the four temperatures.
In the first solution, the server randomly encodes a client-owned fingerprint using a different projection matrix for each client.
In each run, we use a different seed to randomly split the data and do 5-fold cross-validation.
So the researchers used a different approach: They injected male rats with a chemical called ENU that randomly scrambles single DNA bases.
Facebook used a different approach.
Quebec uses a different language.
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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