48 citations · 81 across the 4 of their papers we have counts for
4 papers
On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms
Steven Van Vaerenbergh, Jesus Fernandez-Bes, Víctor Elvira
We study the relationship between online Gaussian process (GP) regression and kernel least mean squares (KLMS) algorithms. While the latter have no capacity of storing the entire p…
A Probabilistic Least-Mean-Squares Filter
Jesus Fernandez-Bes, Víctor Elvira, Steven Van Vaerenbergh
We introduce a probabilistic approach to the LMS filter. By means of an efficient approximation, this approach provides an adaptable step-size LMS algorithm together with a measure…
Bayesian Extensions of Kernel Least Mean Squares
Il Memming Park, Sohan Seth, Steven Van Vaerenbergh
The kernel least mean squares (KLMS) algorithm is a computationally efficient nonlinear adaptive filtering method that "kernelizes" the celebrated (linear) least mean squares algor…
Blind Identification of SIMO Wiener Systems based on Kernel Canonical Correlation Analysis
Steven Van Vaerenbergh, Javier Via, Ignacio Santamaria
We consider the problem of blind identification and equalization of single-input multiple-output (SIMO) nonlinear channels. Specifically, the nonlinear model consists of multiple s…