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Related Questions
- What are the key factors to consider when selecting a surrogate model in Bayesian optimization?
- How do different surrogate models compare in terms of computational efficiency and accuracy?
- What are some common pitfalls to avoid when choosing a surrogate model for a specific problem?
- How can the choice of surrogate model impact the overall performance of the Bayesian optimization algorithm?
- What are some strategies for selecting a surrogate model based on the problem's characteristics, such as the number of variables or the type of objective function?
- Can you provide some examples of successful applications of different surrogate models in Bayesian optimization?
- How can the choice of surrogate model be validated or tested to ensure it is suitable for the problem at hand?
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