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Related Questions
- Can you explain how query by committee is used in ensemble learning to improve model robustness and accuracy?
- How does query by committee help in reducing the overfitting problem in machine learning models?
- Can you provide examples of real-world applications of query by committee in areas such as natural language processing and computer vision?
- How does query by committee enable active learning in machine learning, allowing for more efficient use of labeled data?
- Can you discuss the trade-offs between query by committee and other ensemble methods, such as bagging and boosting?
- How does query by committee facilitate the development of explainable AI models by providing insights into the decision-making process?
- Can you describe the role of query by committee in multi-task learning, where a single model is trained on multiple related tasks?
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