Pages that link to "Item:Q6109172"
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The following pages link to Gaussian Process Regression on Nested Spaces (Q6109172):
Displaying 16 items.
- Hilbert space methods for reduced-rank Gaussian process regression (Q91877) (← links)
- Computationally efficient algorithm for Gaussian process regression in case of structured samples (Q327224) (← links)
- An efficient methodology for modeling complex computer codes with Gaussian processes (Q1023832) (← links)
- Multi-fidelity Gaussian process regression for prediction of random fields (Q1685592) (← links)
- Nested polynomial trends for the improvement of Gaussian process-based predictors (Q1691892) (← links)
- Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation (Q2058770) (← links)
- Nested aggregation of experts using inducing points for approximated Gaussian process regression (Q2163216) (← links)
- Recursive estimation for sparse Gaussian process regression (Q2203074) (← links)
- An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs (Q2203403) (← links)
- Latent map Gaussian processes for mixed variable metamodeling (Q2246360) (← links)
- Four algorithms to construct a sparse kriging kernel for dimensionality reduction (Q2282609) (← links)
- Group Kernels for Gaussian Process Metamodels with Categorical Inputs (Q3296931) (← links)
- (Q4027711) (← links)
- (Q4258157) (← links)
- Efficient sequential experimental design for surrogate modeling of nested codes (Q4967799) (← links)
- Gaussian Process Subspace Prediction for Model Reduction (Q5864693) (← links)
