An Online Stochastic Kernel Machine for Robust Signal Classification
Machine Learning
2019-12-18 v2 Machine Learning
Signal Processing
Abstract
We present a novel variation of online kernel machines in which we exploit a consensus based optimization mechanism to guide the evolution of decision functions drawn from a reproducing kernel Hilbert space, which efficiently models the observed stationary process.
Cite
@article{arxiv.1905.07686,
title = {An Online Stochastic Kernel Machine for Robust Signal Classification},
author = {Raghu G. Raj},
journal= {arXiv preprint arXiv:1905.07686},
year = {2019}
}