BriefGPT.xyz
Mar, 2017
使用随机傅里叶特征在RKH空间中进行网络分布式在线学习
Online Distributed Learning Over Networks in RKH Spaces Using Random Fourier Features
HTML
PDF
Pantelis Bouboulis, Symeon Chouvardas, Sergios Theodoridis
TL;DR
我们提出了一种新颖的扩散方案，用于在网络上进行基于内核的在线学习，通过使用Random Fourier Features，将解决方案近似为固定大小的向量，并提供了渐近收敛和网络遗憾的限制条件。
Abstract
We present a novel
diffusion scheme
for
online kernel-based learning
over networks. So far, a major drawback of any online learning algorithm, operating in a reproducing kernel Hilbert space (RKHS), is the need f
→