Pages that link to "Item:Q1623425"
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The following pages link to Efficient optimization of the likelihood function in Gaussian process modelling (Q1623425):
Displaying 7 items.
- Methods to compare expensive stochastic optimization algorithms with random restarts (Q1756805) (← links)
- Benefits and application of tree structures in Gaussian process models to optimize magnetic field shaping problems (Q1793911) (← links)
- Deterministic global optimization with Gaussian processes embedded (Q2062323) (← links)
- A matrix-free approach for solving the parametric Gaussian process maximum likelihood problem (Q2882787) (← links)
- An adjoint for likelihood maximization (Q3561996) (← links)
- Variable Selection for Gaussian Process Models using Experimental Design-Based Subagging (Q4571217) (← links)
- Adaptive Gaussian Process Approximation for Bayesian Inference with Expensive Likelihood Functions (Q5157268) (← links)
