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Related Questions
- What are the key differences between uncertainty sampling and expected calibration error in ensemble methods for active learning?
- How does uncertainty sampling improve the efficiency of ensemble methods by reducing redundant or irrelevant data?
- What are some common applications of uncertainty sampling in real-world active learning scenarios?
- Can you explain the concept of anchor points in uncertainty sampling and how they affect ensemble method performance?
- What are the trade-offs between exploration and exploitation in uncertainty sampling for active learning?
- How does the choice of uncertainty metric (e.g., entropy, variance, or margin) impact the effectiveness of uncertainty sampling?
- Can you provide examples of how uncertainty sampling can be used to identify ambiguous or uncertain regions in a data distribution?
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