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We also develop and demonstrate an integrated resampling-based approach to the reduction of variable space for the learning of the network.
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In this paper, the evaluation, combining and initial reduction of variables is presented, along with assessment of the hypotheses in the preliminary statistical testing.
In fact, (Haj-Ali and Aboudi, 2009) have shown that the same reduction of variables can be achieved by a simple static condensation carried out at the global system of equations instead of introducing intermediate variables.
Along with the reduction of variables by half, the integration can facilitate the preliminary design, and is a small but important advance in the consideration of MSW non-homogeneity.
The same approach of reduction of variables has been also applied to a graded potential system.
All variables in the logit model for determining the probability of CS scar dehiscence had high P-values, making it necessary to perform a reduction of variables (Table 6).
This reduction of variability in the explained variable partly hides the impacts of the explaining variables.
The efficient tool at the disposal of production managers is a reduction of standard variable costs by means of upgrading and modernization.
It is demonstrated that performing an experiment at a condition with a higher utility has a higher reduction of design variable prediction uncertainty compared to choosing a design point at a lower utility.
In this section, the energy reduction of the variable stage pipelining and its optimality are evaluated.
In detail, statistically significant reduction of the variable SNB indicates a restriction effect on the mandibular growth of growing patients and/or an intense clockwise rotational effect.
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