The following pages link to Multiscale kernels (Q2509166):
Displaying 31 items.
- Sharp learning rates of coefficient-based \(l^q\)-regularized regression with indefinite kernels (Q370936) (← links)
- Learning with coefficient-based regularization and \(\ell^1\)-penalty (Q380980) (← links)
- Approximation and compression of scattered data by meshless multiscale decompositions (Q942151) (← links)
- Orthogonality from disjoint support in reproducing kernel Hilbert spaces (Q952158) (← links)
- Integral operators generated by multi-scale kernels (Q964922) (← links)
- Adaptive interpolation by scaled multiquadrics (Q1599369) (← links)
- Regularized kernel-based reconstruction in generalized Besov spaces (Q1750389) (← links)
- Multiscale data sampling and function extension (Q1762316) (← links)
- Coefficient-based \(l^q\)-regularized regression with indefinite kernels and unbounded sampling (Q1784975) (← links)
- Adaptive estimation for nonlinear systems using reproducing kernel Hilbert spaces (Q2000503) (← links)
- A forward-backward greedy approach for sparse multiscale learning (Q2083098) (← links)
- Approximation of Lyapunov functions from noisy data (Q2192453) (← links)
- Multiscale radial kernels with high-order generalized Strang-Fix conditions (Q2200787) (← links)
- Mesh-free error integration in arbitrary dimensions: a numerical study of discrepancy functions (Q2236181) (← links)
- An introduction to the Hilbert-Schmidt SVD using iterated Brownian bridge kernels (Q2256959) (← links)
- Radial kernels via scale derivatives (Q2348688) (← links)
- Reconstruct multiscale functions using different RBFs in different subdomains (Q2381394) (← links)
- Error-controlled model approximation for Gaussian process morphable models (Q2417934) (← links)
- Recovery of functions from weak data using unsymmetric meshless kernel-based methods (Q2483197) (← links)
- Tight frame expansions of multiscale reproducing kernels in Sobolev spaces (Q2491722) (← links)
- Variational image registration using inhomogeneous regularization (Q2513429) (← links)
- Reprint of: A forward-backward greedy approach for sparse multiscale learning (Q2679340) (← links)
- Kernel based multiscale partial Renyi transfer entropy and its applications (Q2685759) (← links)
- KCS -- new kernel family with compact support in scale space: Formulation and impact (Q2713815) (← links)
- A high-order, analytically divergence-free approximation method for the time-dependent Stokes problem (Q2805128) (← links)
- Surrogate modeling of multiscale models using kernel methods (Q2952618) (← links)
- (Q4551320) (← links)
- A note on kernel methods for multiscale systems with critical transitions (Q4626768) (← links)
- Multiscale Approximation and Reproducing Kernel Hilbert Space Methods (Q5253594) (← links)
- Learning with Convex Loss and Indefinite Kernels (Q5378314) (← links)
- On Multiscale Quasi-Interpolation of Scattered Scalar- and Manifold-Valued Functions (Q6054292) (← links)
