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Related Questions
- How do Gaussian processes and random forests complement each other in Bayesian optimization?
- What are the advantages of combining Gaussian processes and random forests for hyperparameter tuning?
- How does the choice of Gaussian process and random forest model impact the performance of the Bayesian optimizer?
- Can you provide an example of a real-world problem where Gaussian processes and random forests are used together in Bayesian optimization?
- How can the uncertainty estimation provided by Gaussian processes be used in conjunction with the feature importance of random forests?
- What is the impact of the Gaussian process noise variance on the performance of the Bayesian optimizer?
- How can the combined model be adapted for problems with high-dimensional feature spaces?
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