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Related Questions
- What are the key differences between Gaussian processes and random forests as surrogate models in Bayesian optimization?
- How do Gaussian processes handle high-dimensional input spaces in Bayesian optimization?
- Can you explain the concept of surrogate models in Bayesian optimization and how they are used to optimize complex systems?
- How do random forests handle noisy or missing data in Bayesian optimization?
- What are the advantages and disadvantages of using Gaussian processes versus random forests as surrogate models in Bayesian optimization?
- How do Gaussian processes and random forests interact with the acquisition function in Bayesian optimization?
- Can you provide an example of how Gaussian processes and random forests are used to optimize a complex system in Bayesian optimization?
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