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The models developed using qualitative data may prove useful once empirically tested, although these were all based on patients with chronic health problems[ 71, 75, 77].
Consequently, this chapter focuses on models developed using this species.
The resulting models developed using different approaches are compared.
Models developed using a k value of 1 were also produced for comparison in this analysis.
ANN models developed using the 1996 1998 datasets were applied to the WRF output for 2006.
The welding process is represented in the form of mathematical models developed using response surface methodology.
The models developed using the PATENTS dataset were validated using fivefold CV as described in details elsewhere [48].
It is based on surrogate models developed using input-output data in a trust-region framework.
Algorithms are judged based on the generalization power of IT2FLS models developed using them.
This paper presents a review of the electrical conductivity models developed using fractal, percolation and effective medium theories.
The objective of this study was to determine the reproducibility of logistic regression models developed using automated variable selection methods.
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