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A similar study can be found in[15], where the memory structure of the source is represented by a very simple model, bit-flipping between the current information sequence and its previous counterpart, which is not reasonable in many practical scenarios.
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The expected value of perfect information for parameters (EVPPI) was obtained by multiplying the effective population with the difference between the net-benefit with perfect information and the expected value with current information about the parameter(s) [ 12].
The EVPI is the difference between the mean expected NHB with perfect information from the probabilistic sensitivity analysis and the mean NHB with current information from the primary analysis.
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The correspondence between the decoding and information becomes clearer as one compares the information between the current and the previous pattern (p<0.001, n = 95, 2-sided paired t-test).
However, current information about the hierarchy governing the relationship between these two enzymes is at first sight contradictory, although discrepancies might reflect tissue specificities.
We show that it is possible to build a control law directly from the maximization of the shared information between the current image and the next key image in the visual path.
A rate estimation based on the residue between the current frame and the side information is proposed [16], where the parity bits are allocated dynamically according to the motion activity.
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