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In order to assess the relationship between the distributions of access scores and a Laplace, we created a random dataset from an ideal Laplace distribution.
Dataset SNAD-IDF SNAD-Binary Spectral-IDF Spectral-Binary EHR 1.04 1.02 1.16 1.14 Wiki 0.44 0.43 0.50 0.49. Figure 4 depicts the distributions of access network similarity in the EHR and Wiki datasets for an arbitrary week (similar results were observed with other weeks).
On the assumption that the distributions of access times are similar for both types of representations, and that the representation accessed first is the one that governs (at least initially) the response (e.g. "Animal" or "Person"), it follows that the response, and by extension the MCE, will be influenced earlier when sampling from two distributions than when sampling from one distribution.
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Suboptimal distribution of access to these services in free markets is most often at the heart of these arguments.
Figure 4 The distribution of access network similarity as a function of access network size.
From the figures, we observed that the distribution of access scores in EHR and Wiki datasets is close to a Laplace distribution, which is centered.
Table 2 shows the distribution of access privilege P 1 across top-level departments of the company and its actual activation in these departments.
To verify if this is the case, we modeled the distribution of access scores for an arbitrary week of the EHR and the Wiki datasets.
But even though 4.5 billion people have cell phones, including many of the unbanked, the distribution of access to cash via a mobile is at 1%, more or less.
While the definition of the groups worked on the basis of the median of the distribution of herd size and cash income, it is important to consider the unequal distribution of access to these two resources and total income.
The sustainable use of raw materials does not only concern the environmental impacts of their production and consumption, but also the intergenerational distribution of access to the raw material or the services provided by that material.
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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