Pages that link to "Item:Q2062323"
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The following pages link to Deterministic global optimization with Gaussian processes embedded (Q2062323):
Displaying 11 items.
- Efficient optimization of the likelihood function in Gaussian process modelling (Q1623425) (← links)
- Gaussian process optimization with failures: classification and convergence proof (Q2022175) (← links)
- Global dynamic optimization with Hammerstein-Wiener models embedded (Q2079688) (← links)
- A robust approach to warped Gaussian process-constrained optimization (Q2097663) (← links)
- Obey validity limits of data-driven models through topological data analysis and one-class classification (Q2147924) (← links)
- Convex and concave envelopes of artificial neural network activation functions for deterministic global optimization (Q2689856) (← links)
- Improved convex and concave relaxations of composite bilinear forms (Q2697000) (← links)
- Exploiting Variance Reduction Potential in Local Gaussian Process Search (Q4639563) (← links)
- Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step (Q5882394) (← links)
- Surrogate-based branch-and-bound algorithms for simulation-based black-box optimization (Q6074062) (← links)
- Comparison of MINLP formulations for global superstructure optimization (Q6173771) (← links)
