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Related Questions
- What are the key differences in assumptions and modeling capabilities between Gaussian processes and random forests in Bayesian optimization?
- How do the computational complexities of Gaussian processes and random forests impact their use in Bayesian optimization?
- What are the typical use cases where Gaussian processes are preferred over random forests in Bayesian optimization?
- Can you provide examples of scenarios where random forests are more suitable than Gaussian processes in Bayesian optimization?
- How do the hyperparameters of Gaussian processes and random forests affect the performance of Bayesian optimization?
- What are the implications of using Gaussian processes versus random forests on the interpretability of Bayesian optimization results?
- Can you discuss the trade-offs between exploration-exploitation trade-offs in Bayesian optimization using Gaussian processes versus random forests?
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