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Related Questions
- What is the concept of uncertainty in active learning, and how is it used to select samples for labeling?
- Can you explain the different methods used to estimate uncertainty in active learning, such as entropy and margin?
- How does active learning leverage uncertainty to balance the trade-off between exploration and exploitation?
- What are some common algorithms used in active learning to select samples based on uncertainty, such as uncertainty sampling and expected model change?
- How does uncertainty sampling work, and what are its advantages and disadvantages?
- Can you discuss the role of uncertainty in active learning for multi-class classification problems?
- How does active learning with uncertainty selection impact the overall performance of a machine learning model?
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