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Related Questions
- How do Gaussian processes adapt to high-dimensional search spaces in Bayesian optimization, and what are the challenges associated with it?
- What are the key differences between Gaussian processes and other Bayesian optimization algorithms in handling high-dimensional spaces?
- Can you elaborate on the use of kernel functions in Gaussian processes for Bayesian optimization, and how they impact the search space?
- How do Gaussian processes handle the curse of dimensionality in high-dimensional search spaces?
- What are some strategies for reducing the computational cost of Gaussian processes in high-dimensional search spaces?
- Can you discuss the relationship between the choice of kernel and the performance of Gaussian processes in high-dimensional search spaces?
- How do Gaussian processes handle uncertainty in high-dimensional search spaces, and what are the implications for Bayesian optimization?
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