Pages that link to "Item:Q1654461"
From MaRDI portal
The following pages link to Kernel methods for the approximation of some key quantities of nonlinear systems (Q1654461):
Displaying 20 items.
- Dimensionality reduction of complex metastable systems via kernel embeddings of transition manifolds (Q2022651) (← links)
- Kernel methods for center manifold approximation and a weak data-based version of the center manifold theorem (Q2077601) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. I: Parametric kernel flows (Q2077645) (← links)
- One-shot learning of stochastic differential equations with data adapted kernels (Q2111726) (← links)
- Approximation of Lyapunov functions from noisy data (Q2192453) (← links)
- Kernel embedding based variational approach for low-dimensional approximation of dynamical systems (Q2237840) (← links)
- Kernel method and linear recurrence system (Q2483349) (← links)
- A note on microlocal kernel design for some slow-fast stochastic differential equations with critical transitions and application to EEG signals (Q2700697) (← links)
- Kernel-based methods for parameter estimation in multidimensional systems (Q2851166) (← links)
- (Q2970771) (← links)
- (Q3776933) (← links)
- (Q4391319) (← links)
- A note on kernel methods for multiscale systems with critical transitions (Q4626768) (← links)
- RKH SPACE METHODS FOR LOW LEVEL MONITORING AND CONTROL OF NONLINEAR SYSTEMS (Q4886528) (← links)
- Estimation of kernel function of non-linear system by gaussian non-white noise (Q5202127) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. IV: Case with partial observations (Q6096532) (← links)
- Learning dynamical systems from data: a simple cross-validation perspective. V: Sparse kernel flows for 132 chaotic dynamical systems (Q6496480) (← links)
- Simplicity bias, algorithmic probability, and the random logistic map (Q6554925) (← links)
- Bridging algorithmic information theory and machine learning: a new approach to kernel learning (Q6558847) (← links)
- Hausdorff metric based training of kernels to learn attractors with application to 133 chaotic dynamical systems (Q6558876) (← links)
