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Related Questions
- What are the key differences between uncertainty sampling and other active learning methods like expected model change and expected utility?
- How does uncertainty sampling compare to query-by-committee in terms of sample efficiency and accuracy?
- Can you explain the concept of 'uncertainty' in the context of uncertainty sampling and how it is measured?
- What are some common applications of uncertainty sampling in real-world scenarios, such as image classification or natural language processing?
- How does uncertainty sampling handle class imbalance or outliers in the data?
- What are the computational costs associated with uncertainty sampling, and how can they be optimized?
- Can you discuss the relationship between uncertainty sampling and other ensemble methods, such as bagging and boosting?
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