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Related Questions
- What are the key differences between uncertainty-based sampling and other active learning strategies?
- How does uncertainty-based sampling help to reduce the number of labelled samples required for accurate model performance?
- Can you explain the concept of epistemic uncertainty and how it is used in uncertainty-based sampling?
- What are some common uncertainty estimation methods used in uncertainty-based sampling?
- How does uncertainty-based sampling compare to other active learning strategies in terms of model accuracy and computational efficiency?
- What are some potential challenges and limitations of using uncertainty-based sampling in real-world applications?
- Can you provide an example of how uncertainty-based sampling is used in a specific machine learning task or application?
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