Sciweavers

92 search results - page 3 / 19
» Explicit recursivity into reproducing kernel Hilbert spaces
Sort
View
TIP
1998
157views more  TIP 1998»
13 years 4 months ago
Reproducing kernel Hilbert space method for optimal interpolation of potential field data
—An error in the theoretical derivations leading up to the main equation of the above correspondence by Prost et al. is pointed out, and corrections are presented. Due to the err...
Jonathan S. Maltz, Robert De Mello Koch, Andrew Wi...
FOCM
2008
140views more  FOCM 2008»
13 years 5 months ago
Online Gradient Descent Learning Algorithms
This paper considers the least-square online gradient descent algorithm in a reproducing kernel Hilbert space (RKHS) without explicit regularization. We present a novel capacity i...
Yiming Ying, Massimiliano Pontil
NIPS
2004
13 years 6 months ago
Kernels for Multi--task Learning
This paper provides a foundation for multi
Charles A. Micchelli, Massimiliano Pontil
FOCM
2006
97views more  FOCM 2006»
13 years 5 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
ICASSP
2011
IEEE
12 years 9 months ago
Multiple kernel nonnegative matrix factorization
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
Shounan An, Jeong-Min Yun, Seungjin Choi