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Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India
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SYSNO 0550881 Title Transferring Improved Local Kernel Design in Multi-Source Bayesian Transfer Learning, with an application in Air Pollution Monitoring in India Author(s) Nugent, Sh. (IE)
Quinn, Anthony (UTIA-B) [AS] ORCIDIssue data Praha: ÚTIA AV ČR, v. v. i.,, 2021 Edition Research Report , 2392 Document Type Výzkumná zpráva Grant GA18-15970S GA ČR - Czech Science Foundation (CSF), CZ - Czech Republic Institutional support UTIA-B - RVO:67985556 Language eng Country CZ Keywords fully probabilistic methods * Bayesian Transfer Learning algorithm * Gaussian Process * Intrinsic Coregionalization Model * pollution modelling URL http://library.utia.cas.cz/separaty/2021/AS/quinn-0550881.pdf Permanent Link http://hdl.handle.net/11104/0326186 File Download Size Commentary Version Access 0550881.pdf 0 483 KB Other open-access
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