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Subsequently, Shannon (1948) formalized this idea by defining the entropy and mutual information concepts.
We formalized this idea with the concept of an "AIs-Deletions matrix" (Figure 2B).
Granger formalized this idea in the context of linear regression models of stochastic processes [4].
The American Association for the Advancement of Science AAASS) formalized this idea in Vision and Change in Undergraduate Biology Education: A Call to Action (AAAS, 2011) by recommending that communication of scientific concepts through visual representations be standard in undergraduate biology education.
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Corollary 2 formalizes this idea.
Reichenbach was the first to formalize this idea rather precisely.
There are a number of important motivations for formalizing this idea of a model.
To formalize this idea, we rely on a classical worst-case approach to uncertainty in the spirit of, e.g., Gilboa and Schmeidler (1989).
We formalize this idea within the framework of Bayesian regression using a grammar over Gaussian process kernels, and compare this approach with other structure learning approaches.
We will formalize this idea in the following, where the index λ refers to local maxima of test case quality (tilde {E}).
To formalize this idea, suppose that (delta _{c}=0) and (delta _{l}>0) are the liquidation costs for the central and the local supervisor, respectively, in the absence of supervisory responsibilities, and that such responsibilities add (Delta ) to these costs.
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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