%0 Journal Article %1 journals/tim/YangG20a %A Yang, Zeyu %A Ge, Zhiqiang %D 2020 %J IEEE Trans. Instrum. Meas. %K dblp %N 10 %P 8128-8136 %T Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression. %U http://dblp.uni-trier.de/db/journals/tim/tim69.html#YangG20a %V 69

@article{journals/tim/YangG20a, added-at = {2020-10-06T00:00:00.000+0200}, author = {Yang, Zeyu and Ge, Zhiqiang}, biburl = {https://www.bibsonomy.org/bibtex/2be51006cfe08715bd63c868150e08668/dblp}, ee = {https://doi.org/10.1109/TIM.2020.2993980}, interhash = {d81a923f9809e7f2e5ca41171950dbeb}, intrahash = {be51006cfe08715bd63c868150e08668}, journal = {IEEE Trans. Instrum. Meas.}, keywords = {dblp}, number = 10, pages = {8128-8136}, timestamp = {2020-10-07T11:35:33.000+0200}, title = {Industrial Virtual Sensing for Big Process Data Based on Parallelized Nonlinear Variational Bayesian Factor Regression.}, url = {http://dblp.uni-trier.de/db/journals/tim/tim69.html#YangG20a}, volume = 69, year = 2020 }