Pages that link to "Item:Q2896059"

The following pages link to On learning with integral operators (Q2896059):

Displaying 50 items.

• Identification of the diffusion parameter in nonlocal steady diffusion problems (Q282071) (← links)
• The fractional Laplacian operator on bounded domains as a special case of the nonlocal diffusion operator (Q316199) (← links)
• Universally consistent vertex classification for latent positions graphs (Q366983) (← links)
• Integral operator approach to learning theory with unbounded sampling (Q371679) (← links)
• Anisotropic diffusion on sub-manifolds with application to Earth structure classification (Q412409) (← links)
• Hodge theory on metric spaces. Appendix by Anthony W. Baker (Q431818) (← links)
• Consistency of regularized spectral clustering (Q533498) (← links)
• Debiased magnitude-preserving ranking: learning rate and bias characterization (Q777111) (← links)
• Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel (Q829893) (← links)
• Geometry on probability spaces (Q843724) (← links)
• Some remarks on MCMC estimation of spectra of integral operators (Q888474) (← links)
• Kernel methods for the approximation of some key quantities of nonlinear systems (Q1654461) (← links)
• Asymptotically compatible schemes for space-time nonlocal diffusion equations (Q1677790) (← links)
• A short FE implementation for a 2d homogeneous Dirichlet problem of a fractional Laplacian (Q1705015) (← links)
• Analysis and approximation of a fractional Laplacian-based closure model for turbulent flows and its connection to Richardson pair dispersion (Q1732465) (← links)
• Existence and uniqueness of weak solutions for nonlocal parabolic problems via the Galerkin method (Q1747076) (← links)
• On Rayleigh-type formulas for a non-local boundary value problem associated with an integral operator commuting with the Laplacian (Q1748253) (← links)
• Robust dimension-free Gram operator estimates (Q1750105) (← links)
• Manifold learning with arbitrary norms (Q1982603) (← links)
• Analysis of fully discrete approximations for dissipative systems and application to time-dependent nonlocal diffusion problems (Q1999870) (← links)
• Adaptive estimation of nonparametric geometric graphs (Q2035746) (← links)
• Learning sparse conditional distribution: an efficient kernel-based approach (Q2044348) (← links)
• Estimation of the number of components of nonparametric multivariate finite mixture models (Q2054486) (← links)
• Some random Fourier matrices and their singular values (Q2069921) (← links)
• Robust non-parametric regression via incoherent subspace projections (Q2071515) (← links)
• On a regularization of unsupervised domain adaptation in RKHS (Q2075006) (← links)
• Error bounds of the invariant statistics in machine learning of ergodic Itô diffusions (Q2077623) (← links)
• Machine learning with kernels for portfolio valuation and risk management (Q2120539) (← links)
• Operator-theoretic framework for forecasting nonlinear time series with kernel analog techniques (Q2125604) (← links)
• Learning rates for the kernel regularized regression with a differentiable strongly convex loss (Q2191832) (← links)
• Error estimates for spectral convergence of the graph Laplacian on random geometric graphs toward the Laplace-Beltrami operator (Q2194775) (← links)
• Estimating covariance and precision matrices along subspaces (Q2219236) (← links)
• Diffusion maps for changing data (Q2252180) (← links)
• Learning sets with separating kernels (Q2252512) (← links)
• A discontinuous Galerkin method with penalty for one-dimensional nonlocal diffusion problems (Q2289876) (← links)
• Nonlocal convection-diffusion problems on bounded domains and finite-range jump processes (Q2302897) (← links)
• Reduced basis methods for nonlocal diffusion problems with random input data (Q2309052) (← links)
• Random discretization of the finite Fourier transform and related kernel random matrices (Q2310829) (← links)
• Regularity analyses and approximation of nonlocal variational equality and inequality problems (Q2320055) (← links)
• Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods (Q2325378) (← links)
• The geometry of kernelized spectral clustering (Q2343965) (← links)
• Multivariate nonparametric test of independence (Q2374408) (← links)
• Error-controlled model approximation for Gaussian process morphable models (Q2417934) (← links)
• Concentration of kernel matrices with application to kernel spectral clustering (Q2656607) (← links)
• Diffusion \(K\)-means clustering on manifolds: provable exact recovery via semidefinite relaxations (Q2659762) (← links)
• Learning Eigenfunctions Links Spectral Embedding and Kernel PCA (Q3160484) (← links)
• Concentration Inequalities for Statistical Inference (Q3380883) (← links)
• On the variational limit of a class of nonlocal functionals related to peridynamics (Q3458798) (← links)
• Approximate Quadrature Measures on Data-Defined Spaces (Q4611834) (← links)
• A discontinuous Galerkin method for one-dimensional time-dependent nonlocal diffusion problems (Q4683161) (← links)