| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322423 | Expert Systems with Applications | 2012 | 9 Pages |
Abstract
⺠We optimize the bandwidths of kernel regression with evolution strategies. ⺠We extend the Nadaraya-Watson estimator by local models with independent parameterization. ⺠The approach is more flexible than standard kernel regression. ⺠We optimize unsupervised kernel regression for dimensionality reduction with evolution strategies.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Oliver Kramer, Fabian Gieseke,