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Related Questions
- What are the key considerations for selecting the most informative samples in uncertainty sampling?
- How can the performance of uncertainty sampling be evaluated and compared with other active learning methods?
- What are some common pitfalls to avoid when combining uncertainty sampling with other active learning methods?
- Can you provide examples of successful applications of uncertainty sampling in real-world machine learning projects?
- How can the trade-off between exploration and exploitation be managed in uncertainty sampling?
- What are some strategies for adapting uncertainty sampling to different types of machine learning models and datasets?
- How can uncertainty sampling be used in conjunction with other active learning methods, such as query-by-committee or expected utility?
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