68 citations · 206 across the 14 of their papers we have counts for
3 papers · 1 filter
A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces
Masa-aki Takizawa, Masahiro Yukawa, Cedric Richard
This paper presents a stochastic behavior analysis of a kernel-based stochastic restricted-gradient descent method. The restricted gradient gives a steepest ascent direction within…
Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces
Masahiro Yukawa
We propose a novel adaptive learning algorithm based on iterative orthogonal projections in the Cartesian product of multiple reproducing kernel Hilbert spaces (RKHSs). The task is…
Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information
Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin +2
In this paper, we address the problem of reconstructing coverage maps from path-loss measurements in cellular networks. We propose and evaluate two kernel-based adaptive online alg…