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Related Questions
- What is uncertainty sampling and how does it differ from other active learning strategies?
- What are the key factors that contribute to the effectiveness of uncertainty sampling in specific scenarios?
- How does uncertainty sampling address the problem of limited training data in machine learning?
- Can you provide examples of scenarios where uncertainty sampling is particularly effective, such as in medical diagnosis or autonomous vehicles?
- What are the potential limitations and challenges of implementing uncertainty sampling in real-world applications?
- How does uncertainty sampling compare to other active learning strategies, such as query-by-committee or expected model change?
- What are the potential benefits of using uncertainty sampling in combination with other machine learning techniques, such as transfer learning or ensemble methods?
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