—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...
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...
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...
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...