Web: http://arxiv.org/abs/2205.02410

June 24, 2022, 1:11 a.m. | Wei Xie, Keqi Wang, Hua Zheng, Ben Feng

cs.LG updates on arXiv.org arxiv.org

Driven by the critical needs of biomanufacturing 4.0, we introduce a
probabilistic knowledge graph hybrid model characterizing the risk- and
science-based understanding of bioprocess mechanisms. It can faithfully capture
the important properties, including nonlinear reactions, partially observed
state, and nonstationary dynamics. Given very limited real process
observations, we derive a posterior distribution quantifying model estimation
uncertainty. To avoid the evaluation of intractable likelihoods, Approximate
Bayesian Computation sampling with Sequential Monte Carlo (ABC-SMC) is utilized
to approximate the posterior distribution. Under …

arxiv bayesian bayesian inference hybrid inference learning ml model sampling support

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