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Related Questions
- What are the key considerations for selecting a diverse set of models for query-by-committee to ensure effective decision-making?
- How can I evaluate the performance of different models to identify the best combination for query-by-committee?
- What are some common pitfalls to avoid when selecting models for query-by-committee, and how can I mitigate them?
- How does the choice of model selection criteria impact the outcome of query-by-committee, and what are some strategies for balancing competing criteria?
- Can you discuss the trade-offs between using a small number of high-performing models versus a larger number of diverse models in query-by-committee?
- How can I handle the challenge of model drift or concept drift in query-by-committee, and what are some strategies for adapting to changing data distributions?
- What are some methods for combining the predictions of multiple models in query-by-committee, and how do they impact the overall performance of the committee?
- Can you explain the role of ensemble methods in query-by-committee, and how they can be used to improve the robustness and accuracy of predictions?
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