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Thank you for your interest in our work. The parameter γ=2.2 was selected based on careful cross-validation during the development phase. It consistently provided better results across the metrics we evaluated in our experiments with different datasets. Additionally, it aligns with the mathematical properties of g(t) as defined by Equation (6) in the paper, corresponding to its integral over the interval [0,T].
To make the approach more adaptable for other applications, we introduced the γ configuration in the code, allowing users to adjust the scaling as needed. You can adjust the gamma configuration to suit your specific use case and fine-tune the bridge here:
Dear author, I want to know the reason for setting γ=2.2
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