A note on kernel principal component regression
Kernel principal component regression (KPCR) was studied by Rosipal et al. [18, 19, 20], Hoegaerts et al. [7], and Jade et al. [8]. However, KPCR still encounters theoretical difficulties in the procedure for constructing KPCR and in the choice rule for the retained number of principal components. I...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Springer
2012
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/32762/ http://dx.doi.org/ 10.1007/s10598-012-9143-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |