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Such methods start with a reasonable superposition of high-resolution three-dimensional (3D) structures of the receptors.
Since the aforementioned methods start with the spectrum, it may degrade the effectiveness of feature extraction.
Divisive preclustering methods start with a single cluster that contains all N' image colors.
Evolutionary optimization methods start with some initial population and try to improve them toward some optimal solution.
Both methods start with an estimation of the participation equations: P ( w ij ∗ = 1 | Z j ) = F i ( γ i Z j ).
Most of the optimization methods start with an initial guess for x in order to minimize an objective function f(x).
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It is branching into informally-run transit methods, starting with Nairobi's matatus.
Now the paper, at the request of the authors, has been "put on hold" by the Journal of Climate after questions were raised publicly about one of the researchers' methods, starting with a comment on Steve McIntyre's Climate Audit blog.
The convention is that the methods starts with "findBy" and is then followed by a path.
We used step-up methods, starting with the strongest predictors found in the univariate analyses.
The overall strategy is to screen the structure database with many different methods, starting with fast but unreliable ones and ending with the most sensitive but slow methods.
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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