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Related Questions
- What are some techniques for approximating the expected loss reduction of a sample in uncertainty sampling?
- How can we balance the trade-off between exploration and exploitation in uncertainty sampling?
- What are some strategies for selecting a subset of the most uncertain samples for active learning?
- Can you explain the concept of 'pool-based' and 'query-based' active learning and how they relate to uncertainty sampling?
- How can we use Bayesian neural networks to reduce the computational cost of uncertainty sampling?
- What are some methods for estimating the uncertainty of a model's predictions on unlabelled data?
- Can you discuss the use of Monte Carlo dropout for estimating model uncertainty and reducing computational costs?
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