Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters

Ladislav Jirsa, Lenka Pavelková, Anthony Quinn

2019

Abstract

The paper presents an optimal Bayesian transfer learning technique applied to a pair of linear state-space processes driven by uniform state and observation noise processes. Contrary to conventional geometric approaches to boundedness in filtering problems, a fully Bayesian solution is adopted. This provides an approximate uniform filtering distribution and associated data predictor by processing the involved bounds via a local uniform approximation. This Bayesian handling of boundedness provides the opportunity to achieve optimal Bayesian knowledge transfer between bounded-error filtering nodes. The paper reports excellent rejection of knowledge below threshold, and positive transfer above threshold. In particular, an informal variant achieves strong transfer in this latter regime, and the paper discusses the factors which may influence the strength of this transfer.

Paper Citation

in Harvard Style

Jirsa L., Pavelková L. and Quinn A. (2019). Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 499-506. DOI: 10.5220/0007854104990506

in Bibtex Style

@conference{icinco19,
author={Ladislav Jirsa and Lenka Pavelková and Anthony Quinn},
title={Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={499-506},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007854104990506},
isbn={978-989-758-380-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters
SN - 978-989-758-380-3
AU - Jirsa L.
AU - Pavelková L.
AU - Quinn A.
PY - 2019
SP - 499
EP - 506
DO - 10.5220/0007854104990506