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Three different smoothing rules were applied to avoid sudden changes in the decisions.
Different back-end systems have been evaluated in order to exploit the correlation among classes and avoid sudden changes in the decisions.
Also, the change in the clinical features and clinical diagnosis led to significant changes in the decisions made regarding operative treatment and incision types in the tramadol group compared to the placebo group.
All women were re-interviewed within six weeks of giving birth to enable comparison between their hopes and expectations and their actual experience of labour and pain management, and to ascertain what factors had influenced any changes in the decisions they had made.
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There were more changes in the decision in the Tramal group (p = 0.03).
Furthermore, the choices are significantly influenced by the changes in the decision-making context.
The previous chapter pondered the changes in the decision-making context.
The reduct sets are the shortest possible combinations of condition attributes (independent) which can demonstrate changes in the decision attribute (dependent) with the same accuracy.
These results clearly show that a smoothing stage to avoid sudden changes in the decision sequence is needed in a segmentation task.
Indeed, it is not possible to forecast the changes in the decision attribute without using electrical conductivity of soil and slope.
To be used for optimization studies, a detailed steady state model is developed that can capture changes in the concentration, activation, and ohmic losses due to changes in the decision variables.
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