On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms

no code implementations • 11 Sep 2016 • 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.

regression

Censoring Diffusion for Harvesting WSNs

no code implementations • 29 Sep 2015 • Jesus Fernandez-Bes, Rocío Arroyo-Valles, Jerónimo Arenas-García, Jesús Cid-Sueiro

In this paper, we analyze energy-harvesting adaptive diffusion networks for a distributed estimation problem.

Adaptive Diffusion Schemes for Heterogeneous Networks

no code implementations • 8 Apr 2015 • Jesus Fernandez-Bes, Jerónimo Arenas-García, Magno T. M. Silva, Luis A. Azpicueta-Ruiz

In this paper, we deal with distributed estimation problems in diffusion networks with heterogeneous nodes, i. e., nodes that either implement different adaptive rules or differ in some other aspect such as the filter structure or length, or step size.

A Probabilistic Least-Mean-Squares Filter

no code implementations • 27 Jan 2015 • Jesus Fernandez-Bes, Víctor Elvira, Steven Van Vaerenbergh

We introduce a probabilistic approach to the LMS filter.

BIG-bench Machine Learning