On Banachic Kernels and Approximation Theory
Marc Atteia

TL;DR
This paper explores the generalization of hilbertian kernels within approximation theory, aiming to extend the mathematical framework and potential applications of Banachic kernels.
Contribution
It introduces a new generalization of hilbertian kernels to Banach spaces, expanding the theoretical foundation of approximation methods.
Findings
Established properties of Banachic kernels
Extended approximation techniques to Banach spaces
Provided theoretical insights into kernel generalizations
Abstract
In this paper, I generalize a previous one about hilbertian kernels and approximation theory
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStatistical and numerical algorithms · Control Systems and Identification · Statistical Mechanics and Entropy
