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Comparing the three versions of weakly supervised regression (WSR) models on their loss functions, thresholds, label transformation, and feature embedding.
| Model | Loss function | Threshold | Label Transformation | Feature Embedding |
|---|---|---|---|---|
| WSR1 | Fixed polynomial | Constant b | ✘ | Linear |
| WSR2 | Parameterized ε–insensitive | Parameter τ | ✔ | Linear |
| WSR3 | Parameterized ε–insensitive | Parameter τ | ✔ | Nonlinear (Kernelized) |
