Pages that link to "Item:Q3384280"
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The following pages link to 9 Kernel methods for surrogate modeling (Q3384280):
Displaying 12 items.
- Kernel-based methods for combining information of several frame surveys (Q1731099) (← links)
- One-shot learning of stochastic differential equations with data adapted kernels (Q2111726) (← links)
- Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization (Q2112685) (← links)
- A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows (Q2128470) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. III: Irregularly-sampled time series (Q2677775) (← links)
- Surrogate modeling of multiscale models using kernel methods (Q2952618) (← links)
- Greedy Kernel Approximation for Sparse Surrogate Modeling (Q5225296) (← links)
- Kernel-Based Models for System Analysis (Q6047030) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. IV: Case with partial observations (Q6096532) (← links)
- A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs (Q6097873) (← links)
- Kernel Methods for Surrogate Modeling (Q6322636) (← links)
- Bridging algorithmic information theory and machine learning: a new approach to kernel learning (Q6558847) (← links)
