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Related Questions
- How can domain knowledge be integrated into machine learning models to improve their ability to generalize to new data?
- What are some common pitfalls to avoid when using domain knowledge to inform the design of context-aware metrics?
- Can you provide examples of how domain knowledge has been used to adapt metrics to changes in data distribution in real-world applications?
- What are some techniques for evaluating the effectiveness of domain knowledge in improving the robustness of context-aware metrics?
- How does the type of domain knowledge (e.g. expert knowledge, prior knowledge) impact the design of context-aware metrics?
- Can domain knowledge be used to correct for biases in data distribution, and if so, how?
- How can domain knowledge be used to improve the interpretability of context-aware metrics and ensure they are aligned with business objectives?
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