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Related Questions
- What are the possible issues with integrating uncertainty sampling with other active learning strategies, such as core-set selection or committee-based active learning?
- Can combining uncertainty sampling with other active learning methods lead to increased computational complexity and resource requirements?
- How might the choice of uncertainty sampling algorithm impact the effectiveness of the combined approach?
- Are there potential biases or inconsistencies that can arise when combining uncertainty sampling with other active learning methods?
- What are the implications of using a hybrid approach on the overall performance and efficiency of the active learning process?
- Can the combination of uncertainty sampling with other active learning methods lead to overfitting or underfitting, and if so, how can this be mitigated?
- How do the strengths and weaknesses of each individual active learning method affect the overall outcome when used in combination?
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