An approach for constructing parsimonious generalized Gaussian kernel regression models
The paper proposes a novel construction algorithm for generalized Gaussian kernel regression models. Each kernel regressor in the generalized Gaussian kernel regression model has an individual diagonal covariance matrix, which is determined by maximizing the correlation between the training data and...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2004-12.
|
| Subjects: | |
| Online Access: | Get fulltext |