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Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India
- 1.0550881 - 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
Number of the records: 1