Exact(13)
Specifically, Random Balance Designs is employed here for sensitivity analysis.
This paper deals with the random balance design method (RBD) and its hybrid approach, RBD-FAST.
The results of this paper (and MS98 for t→∞) justify the universal optimality of the introduced decisions, when used under random balance designs.
Recent developments in the implementation of FAST by use of the random balance designs (RBD) technique have allowed significant reduction of the computational cost.
Compared to simple random sampling, random balance design sampling generally provides higher estimation precision for partial variances contributed by the main effects of parameters.
The methods adopt Satterthwaite's application of random balance designs in regression problems, and extend it to sensitivity analysis of model output for non-linear, non-additive models.
Similar(47)
The number of cross-validation folds was specified to the smallest class size, and a (random) balanced cross-validation was used (default parameters).
In larger databases this may be limiting and in this study, due to time constraints, the random balancing method was used to balance the larger databases since this was also efficient for the proposed problem.
In sum, a non-random balance of weak and strong interactions in genetic networks clearly emerges from this analysis –a balance that we might well feel a nontrivial common property of complex systems [33], as it is characteristic of other networks [32], [34] [36].
Images with a random white balance or exposure error were discarded.
Considering the performance measures evaluated, the proposed balancing method proved to be very promising, offering the best results when compared to the random undersampling balancing method, SBC and classification without balancing.
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