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Related Questions
- How does the variance of the model's predictions affect the number of samples required for uncertainty sampling?
- Can you elaborate on the trade-off between the number of samples and the accuracy of uncertainty sampling?
- How does the computational cost of uncertainty sampling scale with the number of classes in a multi-class classification problem?
- Can you explain how uncertainty sampling is used in active learning to optimize the selection of training data?
- How does the choice of uncertainty metric (e.g. entropy, mutual information) impact the computational cost of uncertainty sampling?
- Can you discuss the role of regularization techniques in reducing the computational cost of uncertainty sampling?
- How does the computational cost of uncertainty sampling compare to other active learning strategies, such as core-set selection or batch active learning?
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