Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression

Bin Zhou, Yanjiang Wang, Weifeng Liu 0001, Bao-Di Liu. Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression. In 2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Qingdao, China, September 14-16, 2018. pages 1-5, IEEE, 2018. [doi]

@inproceedings{ZhouW0L18,
  title = {Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression},
  author = {Bin Zhou and Yanjiang Wang and Weifeng Liu 0001 and Bao-Di Liu},
  year = {2018},
  doi = {10.1109/ICSPCC.2018.8567739},
  url = {https://doi.org/10.1109/ICSPCC.2018.8567739},
  researchr = {https://researchr.org/publication/ZhouW0L18},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {2018 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), Qingdao, China, September 14-16, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-7946-3},
}