0507278 20240103222354.120190805235959.9 85073108269 10.5220/0007854104990506 8 s. cav_un_epca*0507148978-989-758-380-32184-2809SetubalSCITEPRESS – Science and Technology Publications, Lda2019GusikhinOlegMadaniKuroshZaytoonJanan Fully Probabilistic Design Bayesian Filtering Uniform Noise Knowledge Transfer Predictor Orthotopic Bounds cav_un_auth*0101119 Jirsa Ladislav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101175 Pavelková Lenka UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0370768 Quinn Anthony UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems IE Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/AS/jirsa-0507278.pdf cav_un_auth*0362986 GA18-15970S GA ČR CZ 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. cav_un_auth*0377849 International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019) /16./ 20190729 20190731 Prague CZ BB 10000 10100 10103 2020 3 PR RVO:67985556 http://hdl.handle.net/11104/0298578 1 cav_un_auth*0345684 Trinity College Dublin, the University of Dublin TCD IE S 50 2019 85073108269 SCOPUS PUBMED WOS cav_un_epca*0507148 Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2019) SCITEPRESS – Science and Technology Publications, Lda 2019 Setubal 978-989-758-380-3 2184-2809 340 Gusikhin Oleg 340 Madani Kurosh 340 Zaytoon Janan