Search results
- 1.0559729 - ÚTIA 2023 RIV NL eng J - Journal Article
Papež, Milan - Quinn, Anthony
Transferring model structure in Bayesian transfer learning for Gaussian process regression.
Knowledge-Based System. Roč. 251, č. 1 (2022), č. článku 108875. ISSN 0950-7051. E-ISSN 1872-7409
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Bayesian transfer learning (BTL) * Multitask learning * Local and global modelling * Fully probabilistic design * Incomplete modelling * Gaussian process regression
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 8.8, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2022/AS/papez-0559729.pdf https://www.sciencedirect.com/science/article/pii/S095070512200418X?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0333424 - 2.0552153 - ÚTIA 2022 RIV CZ eng V - Research Report
Hoffmann, A. - Quinn, Anthony
Ockham's Razor from a Fully Probabilistic Design Perspective.
Praha: ÚTIA AV ČR v. v. i.,, 2021. 7 s. Research Report, 2391.
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Ockham’s Razor * Hierarchical Fully Probabilistic Design * Parametric Inference * Fully Probabilistic Design
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2021/AS/quinn-0552153.pdf
Permanent Link: http://hdl.handle.net/11104/0327298File Download Size Commentary Version Access 0552153.pdf 0 435.9 KB Other open-access - 3.0551618 - ÚTIA 2022 RIV NL eng J - Journal Article
Kuklišová Pavelková, Lenka - Jirsa, Ladislav - Quinn, Anthony
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances.
Knowledge-Based System. Roč. 238, č. 1 (2022), č. článku 107879. ISSN 0950-7051. E-ISSN 1872-7409
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Knowledge fusion * Bayesian transfer learning * Fully probabilistic design * State–space models * Bounded noise * Bayesian inference
OECD category: Statistics and probability
Impact factor: 8.8, year: 2022
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2022/AS/kuklisova-0551618.pdf https://www.sciencedirect.com/science/article/pii/S0950705121010388
Permanent Link: http://hdl.handle.net/11104/0326889 - 4.0549007 - ÚTIA 2022 RIV US eng C - Conference Paper (international conference)
Papež, Milan - Quinn, Anthony
Hierarchical Bayesian Transfer Learning Between a Pair of Kalman Filters.
Proceedings of the 32nd Irish Signals and Systems Conference (ISSC) 2021. Piscataway: IEEE, 2021, č. článku 9467863. ISBN 978-1-6654-3429-4.
[Irish Signals and Systems Conference (ISSC 2021) /23./. Athlone (IE), 10.06.2021-11.06.2021]
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : fully probabilistic design * hierarchical models * Bayesian transfer learning * randomized design * Kalman filters
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2021/AS/papez-0549007.pdf
Permanent Link: http://hdl.handle.net/11104/0325119 - 5.0543581 - ÚTIA 2022 RIV DE eng J - Journal Article
Kárný, Miroslav
Towards on-line tuning of adaptive-agent’s multivariate meta-parameter.
International Journal of Machine Learning and Cybernetics. Roč. 12, č. 9 (2021), s. 2717-2731. ISSN 1868-8071. E-ISSN 1868-808X
R&D Projects: GA MŠMT(CZ) LTC18075
Grant - others:The European Cooperation in Science and Technology (COST)(XE) CA16228
Institutional support: RVO:67985556
Keywords : Bayesian learning * Adaptive agent * Meta-parameter tuning * Fully probabilistic design * Kullback–Leibler divergence * Dynamic decision making
OECD category: Automation and control systems
Impact factor: 4.377, year: 2021
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/AS/karny-0543581.pdf https://link.springer.com/article/10.1007/s13042-021-01358-w
Permanent Link: http://hdl.handle.net/11104/0320766 - 6.0538247 - ÚTIA 2021 CZ eng V - Research Report
Barber, Alec - Quinn, Anthony
Bayesian transfer learning between autoregressive inference tasks.
Praha: ÚTIA AV ČR, 2020. Research Report, 2389.
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : autoregression * transfer learning * Fully Probabilistic Design * FPD * food-commodities price prediction
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2021/AS/quinn-0538247.pdf
Permanent Link: http://hdl.handle.net/11104/0316079File Download Size Commentary Version Access 0538247.pdf 0 443.8 KB Other open-access - 7.0537103 - ÚTIA 2022 RIV CH eng M - Monography Chapter
Jirsa, Ladislav - Kuklišová Pavelková, Lenka - Quinn, Anthony
Bayesian transfer learning between uniformly modelled Bayesian filters.
Informatics in Control, Automation and Robotics : 16th International Conference, ICINCO 2019 Prague, Czech Republic, July 29-31, 2019, Revised Selected Papers. Cham: Springer, 2021 - (Gusikhin, O.; Madani, K.; Zaytoon, J.), s. 151-168. Lecture Notes in Electrical Engineering, 720. ISBN 978-3-030-63192-5
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Bayesian transfer learning * Fully probabilistic design * Bayesian filtering * Uniform noise * Parallelotopic bounds
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2021/AS/kuklisova-0537103.pdf
Permanent Link: http://hdl.handle.net/11104/0315009 - 8.0534000 - ÚTIA 2021 RIV US eng C - Conference Paper (international conference)
Zugarová, Eliška - Guy, Tatiana Valentine
Similarity-based transfer learning of decision policies.
Proceedings of the IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS 2020. Piscataway: IEEE, 2020, s. 37-44. ISBN 978-1-7281-8527-9. ISSN 1062-922X.
[IEEE International Conference on Systems, Man and Cybernetics 2020. Toronto (CA), 11.10.2020-14.10.2020]
R&D Projects: GA MŠMT(CZ) LTC18075
Institutional support: RVO:67985556
Keywords : probabilistic model * fully probabilistic design * transfer learning * closed-loop behavior * Bayesian estimation * sequential decision making
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2020/AS/guy-0534000.pdf
Permanent Link: http://hdl.handle.net/11104/0312464 - 9.0532053 - ÚTIA 2021 RIV NL eng J - Journal Article
Papež, Milan - Quinn, Anthony
Bayesian transfer learning between Student-t filters.
Signal Processing. Volume 175, č. 1 (2020), č. článku 107624. ISSN 0165-1684. E-ISSN 1872-7557
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Bayesian transfer learning * Student-t filtering * Incomplete modelling * Fully probabilistic design * Variational Bayes * Robust transfer
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Impact factor: 4.662, year: 2020
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2020/AS/papez-0532053.pdf https://www.sciencedirect.com/science/article/pii/S0165168420301675
Permanent Link: http://hdl.handle.net/11104/0310668 - 10.0525233 - ÚTIA 2021 RIV RU eng C - Conference Paper (international conference)
Kárný, Miroslav
Minimum Expected Relative Entropy Principle.
Proceedings of the 18th European Control Conference (ECC). Saint Petersburg: European Union Control Association (EUCA), 2020, s. 35-40. ISBN 978-390714401-5.
[The European Control Conference (ECC 2020). Saint Petersburg (RU), 12.05.2020-15.05.2020]
R&D Projects: GA MŠMT(CZ) LTC18075
Grant - others:The European Cooperation in Science and Technology (COST)(XE) CA16228
Institutional support: RVO:67985556
Keywords : minimum relative entropy principle * uncertain prior probability * forgetting * fully probabilistic design * abrupt parameter changes
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://library.utia.cas.cz/separaty/2020/AS/karny-0525233.pdf
Permanent Link: http://hdl.handle.net/11104/0309415