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Related Questions
- Can custom loss functions reduce overfitting in complex systems by directly optimizing for specific error modes?
- How do different loss functions affect model regularization and overfitting, especially in scenarios with scarce training data?
- What is the impact of manual crafting of custom loss functions on model flexibility and adaptability to novel scenarios?
- Do custom loss functions introduce biases that can exacerbate overfitting in certain problem domains?
- In what ways can manual optimization of loss functions mitigate or accentuate the effects of regularization techniques on model generalization?
- What is the relationship between loss function complexity and the potential for overfitting, especially in systems with complex task distributions?
- Can the manual design of loss functions lead to model calibration issues that increase overfitting risks, especially in high-stakes decision-making scenarios?
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