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Table 7 shows the impact of different assumptions related to the efficacy inputs (distribution of patients across health states).
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The input distribution is (5).
Basically, they focus more on credit access and input distribution.
It is further shown that the input distribution can be generalized to all joint probability distributions.
(b) Mutual information versus the input distribution for values of SNR of dB, dB, and dB.
Furthermore, the optimal input distribution for each phase i∈{1,…,6} can be shown to be Gaussian again.
Let and such that the input distribution is of the form.
Therefore, as in [25], is independent from in the input distribution expression (A.1).
These bounds are independent of the input distribution and are faster than the previously known algorithms.
In this paper, we evaluate the sensitivity of input distribution on the output performance measures.
Based on our proposed method, the input distribution of non-linear activation is relatively scattered.
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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