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cs.LG2021
Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances
Lenka Kuklišová Pavelková, Ladislav Jirsa, Anthony Quinn
This paper considers the problem of Bayesian transfer learning-based knowledge fusion between linear state-space processes driven by uniform state and observation noise processes.…
cs.LG2021
Transferring model structure in Bayesian transfer learning for Gaussian process regression
Milan Papež, Anthony Quinn
Bayesian transfer learning (BTL) is defined in this paper as the task of conditioning a target probability distribution on a transferred source distribution. The target globally mo…