Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems

Jiarui Li, Yukio Horiguchi, Tetsuo Sawaragi. Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems. In 59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020, Chiang Mai, Thailand, September 23-26, 2020. pages 826-831, IEEE, 2020. [doi]

@inproceedings{LiHS20-3,
  title = {Data Dimensionality Reduction by Introducing Structural Equation Modeling to Machine Learning Problems},
  author = {Jiarui Li and Yukio Horiguchi and Tetsuo Sawaragi},
  year = {2020},
  url = {https://ieeexplore.ieee.org/document/9240323},
  researchr = {https://researchr.org/publication/LiHS20-3},
  cites = {0},
  citedby = {0},
  pages = {826-831},
  booktitle = {59th Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2020, Chiang Mai, Thailand, September 23-26, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-1089-9},
}