Search Results for author:
Found 3 papers, 0 papers with code
Random Sampling in reproducing kernel subspaces of $L^p({\mathbb R}^n)$
In this paper, we study random sampling on reproducing kernel space $V$, which is a range of an idempotent integral operator.
Functional Analysis
Manifold regularization based on Nystr{ö}m type subsampling
In this paper, we study the Nystr{\"o}m type subsampling for large scale kernel methods to reduce the computational complexities of big data.
Optimal rates for the regularized learning algorithms under general source condition
We consider the learning algorithms under general source condition with the polynomial decay of the eigenvalues of the integral operator in vector-valued function setting.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
