| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4607650 | Journal of Approximation Theory | 2011 | 9 Pages |
Abstract
In this paper we apply a concentration technique to improve the convergence rates for a moving least-square learning algorithm for regression. The concentration technique allows us to obtain a sharper bound for the sample error.
Related Topics
Physical Sciences and Engineering
Mathematics
Analysis
Authors
Hong-Yan Wang,