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...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Springer
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/32762/ http://dx.doi.org/ 10.1007/s10598-012-9143-0 |
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