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Decision thresholds were estimated using the Hierarchical Drift Diffusion Model.
The STN dynamically modulates network decision thresholds in proportion to decision conflict.
The models differ in their assumptions on the shape of the decision thresholds and the way the feedback is used to adjust the decision thresholds.
By examining the tradeoffs created by these uncertainties, appropriate decision thresholds can be selected.
Local detector design is demonstrated in examples, using genetic algorithm search for local decision thresholds.
The evaluation within UR includes ISO 11929 decision thresholds and detection limits.
Our investigation aims to understand how decision thresholds in the above space should be optimized.
However, lack of assay standardisation mandates the need for method-specific decision thresholds and clinical validation in the local population.
A well known design approach consists of tuning the corresponding decision thresholds by optimising the performance measure of interest.
The proposed method is compared with several state-of-the-art binary classifiers in terms of their solution forms, decision thresholds and decision boundaries.
When commissioning or restarting a system after a maintenance action there is a need to properly tune the decision thresholds of the diagnostic system.
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