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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