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Related Questions
- What are the key differences between query-by-committee and other ensemble methods in machine learning?
- How can the use of multiple models in query-by-committee improve the robustness of the final prediction?
- What are the potential drawbacks of using query-by-committee, and how can they be mitigated?
- Can you explain the concept of diversity in query-by-committee and its impact on the final prediction?
- How does the choice of model diversity metric affect the performance of query-by-committee?
- What are the computational requirements for implementing query-by-committee, and are there any optimization techniques to reduce the computational cost?
- Can query-by-committee be used for both classification and regression tasks, and if so, how do the techniques differ?
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