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Related Questions
- What are the potential biases that can arise from collecting negative examples without considering context?
- How can a lack of contextual understanding impact the accuracy of machine learning models?
- What are the consequences of not accounting for context in data collection on the overall performance of a model?
- Can you explain the concept of 'negative transfer' and how it relates to context in data collection?
- What are some strategies for collecting negative examples that take into account the context of the problem?
- How can context-aware data collection methods improve the robustness of machine learning models?
- What are the potential risks of relying on context-insensitive data collection methods in real-world applications?
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