The nonlinear transformation of the input variables that characterises the first nonlinear principal component is modelled as a linear sum of radially-symmetric kernel functions. It is shown that the parameters of the variance maximising transformation may be obtained through the minimisation of a l
โฆ LIBER โฆ
A sign based loss approach to model selection in nonparametric regression
โ Scribed by David J. Nott; Li Jialiang
- Publisher
- Springer US
- Year
- 2009
- Tongue
- English
- Weight
- 614 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0960-3174
No coin nor oath required. For personal study only.
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