Transfer learning via Gaussian process and Probabilistic principal component analysis and its application in real-world industry data

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Title	Transfer learning via Gaussian process and Probabilistic principal component analysis and its application in real-world industry data
Creator	Daemi, Atefeh
Supervisor	Gopaluni, Bhushan; Huang, Biao, 1962-
Publisher	University of British Columbia
Date Issued	2024
Description	The full abstract for this item is available in the body of the item, and will be available when the embargo expires.
Genre	Thesis/Dissertation
Type	Text
Language	eng
Date Available	2025-06-30
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0443843
URI	http://hdl.handle.net/2429/88417
Degree	Doctor of Philosophy - PhD
Program	Chemical and Biological Engineering
Affiliation	Applied Science, Faculty of; Chemical and Biological Engineering, Department of
Degree Grantor	University of British Columbia
Graduation Date	2024-11
Campus	UBCV
Scholarly Level	Graduate
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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Attribution-NonCommercial-NoDerivatives 4.0 International