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Related Questions
- Can you provide an example of uncertainty sampling in active learning and how it is used to select the most informative samples for model training?
- How does uncertainty sampling differ from other active learning strategies, such as query-by-committee or entropy sampling?
- What are the benefits of using uncertainty sampling in active learning, and how can it improve the overall performance of a machine learning model?
- Can you explain the concept of uncertainty in the context of machine learning and how it is measured?
- How does the choice of uncertainty measure, such as entropy or margin, impact the effectiveness of uncertainty sampling?
- Can you discuss the trade-offs between reducing uncertainty and increasing the number of samples in active learning?
- In what scenarios is uncertainty sampling particularly effective, and when might it not be the best approach?
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