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Here, we present the model overlap as a robust discrimination criterion, measuring dissimilarities of model response PDFs used to rate the discriminative power of a design during optimization.
The final discrimination criterion combines these three indices to improve the performance of inrush current identification.
As the other BWE schemes, it also has several parameters for configuring the filters and loss discrimination criterion.
A discrimination criterion is developed based on posterior model probability that directly uses data to evaluate model importance.
The experimental design aims to find the optimal number and location of future observations and the number of sampling rounds such that the desired discrimination criterion is met.
The HBMA result shows that each highly probable proposition can be identified for each uncertain model component once the discrimination criterion is achieved.
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The top-k discriminative subgraph features are selected in terms of different discrimination criteria.
However, these discrimination criteria are derived from geological features without concern for essential issues pertaining to tight sandstone gas genesis.
Results including the discrimination criteria (Mi) and the maximum distance of each phase are presented in Table 1.
The following discrimination criteria can be optimized to maximize the spatial diversity or the independence among estimated signals.
We rely on formal model discrimination criteria for a quantitative evaluation of the interpretive skill of each of the candidate models tested.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com