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Koller's milieu, mission and methods are each a world apart from those of Muir, but they are rooted in the same appreciation of life's complexity and interdependence, something Koller likes to call the "web of influence". By exploring that web with artificial intelligence, she is adding her own richness to humanity's understanding of nature.
Note that the distribution of values is somewhat similar when the MP and Bayesian methods are each compared to ML ε (top and middle panels for the 1 3 ratio), suggesting a similar pattern between MP and Bayesian, under BC treatment of gaps, although the Bayesian method appears to be doing better than MP against ML ε.
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The other 6 methods were each used only once.
FT-phase and FT-magnitude methods were each applied to identify peak-inspiration projections and quantitatively compared to the gold standard of visual identification.
Thus, the three classifications, despite their different methods, were each able to identify longleaf pine forest community types.
When compared with any other method of teaching these two methods were each separately favoured significantly more (p < 0.05).
The other methods were each used in 5 to 10% of the references found in this study.
For each dataset, both GenCo and our method were each run 10 times, taking 20 random permutations of haplotype order in each iteration.
Interviewers' methods are adapted with each narrator, and difference is brought into the open.
Appropriate numerical methods are identified for each of these subsystems.
The core methods are given in each case.
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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