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Here, we focus on the mutual information distribution of the weak user.
To obtain the recommended solution, a user can select a continuous region in the mutual information distribution module.
The mutual information distribution diagram is the main diagram of VISEE, the main purpose of which is to show the distribution of the utility and privacy information associated with different combination of features and sampling rates.
The interface of the visualization tool, called VISEE, proposed in this work, is shown in Fig. 10, which includes five modules: (a) mutual information distribution diagram, (b) parallel coordinate map, (c) feature grid diagram, (d) mutual information ranking chart, (f) recommended solutions (modules (d) and (f) within the same switchable optional page).
To satisfy the objective of high utility and low privacy, a user may select a region in the mutual information distribution diagram with a high activity related mutual information range and low identity related mutual information range, as shown in the gray rectangle of Fig. 13.
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These algorithms try to account for indirect links by means of conditioning the associated mutual information distributions.
Z-scored residual mutual information first computes a linear regression of mutual information against the product of the means of the positional mutual information distributions.
In an effort to further remove this bias, we approximate the column normalized mutual information distributions as Gaussian distributions (Figure 1C).
The channel capacity C is defined as
In this section, we briefly review mutual information for distributions of amino acids and bases, and one of its improvements, M I p, proposed by Dunn et al. [ 21].
Therefore the mutual information between the Pr distribution and the ISI distribution should be equal to the entropy of Pr.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com