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Thus, it is important to obtain process models which give a satisfactory description of gain directionality.
Their relationships are modeled by graphical models which give explicit factorization of a high-dimensional joint probability distribution.
This is a shortcoming in many contemporary SA models, which give less priority to intentionality as a driver of human-dominant situations [2, 5, 7].
When the actuators are perturbed simultaneously this approach yields models which give a satisfactory description of the high-and low-gain directions.
Finally, we also hope to create models which give a better prediction of return reversal based on several other features such as technical indicators generated from the price data.
A value of Rg/d ~ 150 is consistent both with recent Ulysses data (H. Krueger, private communication) and the photoionization models (which give a range of Rg/d= 140−320, depending on the selected solar abundance (Slavin and Frisch, 2008)).
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Results show that all experimental Sherwood numbers occur between the two models, which gives credence to the measurements.
The prediction of CCD experiment was verified by neural network models which gave almost similar results to those determined by response surface models.
Even the scale of impacts may vary, the list of significant factors and their signs are matching in two models, which gives a confidence in the original dataset.
These structural changes were simulated by constructing energetically minimized crystal structural models, which gave X-ray fibre diagrams close to those of the observed ones.
To this end, we first define a suitable sequence of microscopic models, which gives the connection between the defining objects of the Wilson Cowan equation (1.3) and the microscopic models discussed in Sect.
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