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Related Questions
- What are the key differences between Gaussian processes and other surrogate models used in Bayesian optimization?
- How does the choice of kernel function in a Gaussian process impact the exploration-exploitation trade-off?
- Can you explain the concept of 'hyperparameter tuning' in the context of Gaussian processes and Bayesian optimization?
- How does the Gaussian process model handle noisy or missing data in the objective function?
- What are the computational requirements for training and evaluating a Gaussian process model in Bayesian optimization?
- Can you discuss the relationship between the Gaussian process model and the underlying problem's dimensionality?
- How does the Gaussian process model handle non-stationary objective functions in Bayesian optimization?
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