A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs

Jun Zhao 0004, Long Chen 0012, Witold Pedrycz, Wei Wang 0036. A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 50(11):4773-4786, 2020. [doi]

@article{ZhaoCPW20,
  title = {A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs},
  author = {Jun Zhao 0004 and Long Chen 0012 and Witold Pedrycz and Wei Wang 0036},
  year = {2020},
  doi = {10.1109/TSMC.2018.2864752},
  url = {https://doi.org/10.1109/TSMC.2018.2864752},
  researchr = {https://researchr.org/publication/ZhaoCPW20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Systems, Man, and Cybernetics, Part A},
  volume = {50},
  number = {11},
  pages = {4773-4786},
}