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Related Questions
- What is the primary mechanism by which query-by-committee handles label noise, and how does it affect the ensemble's predictions?
- Can you explain how query-by-committee's label noise handling is related to the selection of informative samples, and what are the implications for active learning?
- How does query-by-committee's ability to handle label noise impact the trade-off between exploration and exploitation in active learning?
- What are the potential consequences of label noise on the selection of informative samples in query-by-committee, and how can they be mitigated?
- Can you discuss the relationship between query-by-committee's label noise handling and the concept of 'sample quality' in active learning?
- How does query-by-committee's handling of label noise influence the choice of sampling strategy in active learning?
- What are the key differences between query-by-committee's label noise handling and other active learning methods, and how do these differences impact the selection of informative samples?
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