https://openreview.net/forum?id=zqQKGaNI4lp
Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel | OpenReview
We demonstrate for the first time an interpolating ensemble method that is consistent for a broad class of distributions.
hilbert kernelconsistentinterpolatingensemblesvia
https://deepai.org/publication/on-power-law-kernels-corresponding-reproducing-kernel-hilbert-space-and-applications
On Power-law Kernels, corresponding Reproducing Kernel Hilbert Space and Applications | DeepAI
Apr 9, 2012 - 04/09/12 - The role of kernels is central to machine learning. Motivated by the importance of power-law distributions in statistical modeling...
on powerreproducing kernel
https://deepai.org/publication/robust-kernel-cross-covariance-operators-in-reproducing-kernel-hilbert-space-toward-kernel-methods
Robust Kernel (Cross-) Covariance Operators in Reproducing Kernel Hilbert Space toward Kernel...
Feb 17, 2016 - 02/17/16 - To the best of our knowledge, there are no general well-founded robust methods for statistical unsupervised learning. Most of the ...
cross covariancehilbert spacerobustkerneloperators
https://jmlr.org/papers/v26/23-1551.html
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
numerical integrationreproducing kernel
https://jmlr.org/papers/v24/21-1363.html
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces
partial differentialreproducing kernellearningequationshilbert
https://deepai.org/publication/a-unifying-framework-in-vector-valued-reproducing-kernel-hilbert-spaces-for-manifold-regularization-and-co-regularized-multi-view-learning
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization...
Jan 31, 2014 - 01/31/14 - This paper presents a general vector-valued reproducing kernel Hilbert spaces (RKHS) framework for the problem of learning an unkn...
https://www.jmlr.org/papers/v26/23-1551.html
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
numerical integrationreproducing kernel
https://www.preprints.org/manuscript/202405.1733
Adaptive Supervised Learning on Data Streams in Reproducing Kernel Hilbert Spaces with Data...
In recent years, the abundance of streaming data has posed significant challenges for traditional machine learning algorithms due to the dynamic nature and...
supervised learningdata streams
https://www.canterbury.ac.nz/research/about-uc-research/research-specialities-and-projects/research-projects/reproducing-kernel-hilbert-space-methods-in-dynamical-systems
Reproducing Kernel Hilbert Space methods in dynamical systems | UC
Nonlinear dynamical systems can admit a plethora of invariant and transient objects. Check out our research on reproducing Kernel Hilbert Space methods in...
reproducing kernelhilbert spacedynamical systemsmethods
https://arxiv.org/abs/2601.07967
[2601.07967] Scattered Data Histopolation in Averaging Kernel Hilbert Spaces
Abstract page for arXiv paper 2601.07967: Scattered Data Histopolation in Averaging Kernel Hilbert Spaces
260107967scattereddataaveraging