An Online Stochastic Kernel Machine for Robust Signal Classification
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.
Saved in:
Main Author | |
---|---|
Format | Journal Article |
Language | English |
Published |
18.05.2019
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!