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Related Questions
- What are the key differences between uncertainty sampling and query-by-committee methods in active learning?
- How does uncertainty sampling handle noisy or ambiguous data, and what are its implications for model performance?
- Can you explain the concept of 'optimism' in uncertainty sampling and its relationship to the expected error rate?
- What are the computational costs associated with uncertainty sampling, and how do they compare to query-by-committee methods?
- In what scenarios is uncertainty sampling more effective than query-by-committee methods, and vice versa?
- How does the choice of uncertainty metric (e.g., entropy, variance, or margin) impact the performance of uncertainty sampling?
- Can you discuss the relationship between uncertainty sampling and other active learning methods, such as core-set selection or batch active learning?
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