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Related Questions
- What are the key differences between query by committee and other ensemble methods in handling noisy data?
- How does query by committee adapt to high-dimensional data sets, and what are the implications for performance?
- Can you explain the role of diversity and voting in query by committee, and how they impact robustness in noisy data?
- In what scenarios does query by committee tend to perform better than other ensemble methods in high-dimensional data sets?
- How does the choice of base models and their interactions affect the performance of query by committee in noisy and high-dimensional data sets?
- What are some common challenges in implementing query by committee in practice, and how can they be addressed?
- Can you discuss the relationship between query by committee and other meta-learning approaches, and how they can be combined for improved performance?
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