3 search results - page 1 / 1 » Greedy forward selection algorithms to Sparse Gaussian Proce... |
IJCNN
2006
IEEE
13 years 10 months ago
2006
IEEE
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...
IJCNN
2007
IEEE
13 years 10 months ago
2007
IEEE
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...
JMLR
2011
12 years 11 months ago
2011
We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...