Search results
- 1.0552153 - 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 - 2.0550881 - ÚTIA 2022 RIV CZ eng V - Research Report
Nugent, Sh. - Quinn, Anthony
Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India.
Praha: ÚTIA AV ČR, v. v. i.,, 2021. 19 s. Research Report, 2392.
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : fully probabilistic methods * Bayesian Transfer Learning algorithm * Gaussian Process * Intrinsic Coregionalization Model * pollution modelling
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2021/AS/quinn-0550881.pdf
Permanent Link: http://hdl.handle.net/11104/0326186File Download Size Commentary Version Access 0550881.pdf 0 483 KB Other open-access - 3.0538247 - 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 - 4.0538241 - ÚTIA 2021 CZ eng V - Research Report
Murray, Sean Ernest - Quinn, Anthony
Bayesian Selective Transfer Learning for Patient-Specific Inference in Thyroid Radiotherapy.
Praha: ÚTIA AV ČR, 2020. Research Report, 2388.
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Bayesian estimation * thyroid carcinoma * patient-specific inferences
OECD category: Applied mathematics
http://library.utia.cas.cz/separaty/2021/AS/quinn-0538241.pdf
Permanent Link: http://hdl.handle.net/11104/0316080File Download Size Commentary Version Access 0538241.pdf 1 361.9 KB Other open-access - 5.0519771 - ÚTIA 2020 CZ eng V - Research Report
Lainová, Eva - Kuklišová Pavelková, Lenka - Jirsa, Ladislav
Approximate Bayesian state estimation and output prediction using state-space model with uniform noise.
Praha: ÚTIA AV ČR, 2019. 21 s. Research Report, 2381.
R&D Projects: GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Bayesian filtering * state estimation * output prediction * uniform noise * parallelotopic support * orthotopic support
OECD category: 1. Natural Sciences
http://library.utia.cas.cz/separaty/2019/AS/kuklisova-0519771.pdf
Permanent Link: http://hdl.handle.net/11104/0304777File Download Size Commentary Version Access 0519771.pdf 0 589.2 KB Other open-access - 6.0495875 - ÚTIA 2019 CZ eng V - Research Report
Kárný, Miroslav - Hůla, František
Balancing Exploitation and Exploration via Fully Probabilistic Design of Decision Policies.
Praha: ÚTIA AV ČR, v.v.i, 2018. 13 s. Research Report, 2376.
R&D Projects: GA ČR GA16-09848S; GA ČR(CZ) GA18-15970S
Institutional support: RVO:67985556
Keywords : Exploitation * Exploration * Bayesian estimation * Adaptive systems * Fully probabilistic design * Kullback-Leibler divergence * Decision policy * Markov decision process
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/2018/AS/karny-0495875.pdf
Permanent Link: http://hdl.handle.net/11104/0288947File Download Size Commentary Version Access 0495875.pdf 1 515 KB Other open-access