Massively Parallel Feature Selection: An Approach Based on Variance Preservation

Cite

Text

Zhao et al. "Massively Parallel Feature Selection: An Approach Based on Variance Preservation." Machine Learning, 2013. doi:10.1007/S10994-013-5373-4

Markdown

[Zhao et al. "Massively Parallel Feature Selection: An Approach Based on Variance Preservation." Machine Learning, 2013.](https://mlanthology.org/mlj/2013/zhao2013mlj-massively/) doi:10.1007/S10994-013-5373-4

BibTeX

@article{zhao2013mlj-massively,
  title     = {{Massively Parallel Feature Selection: An Approach Based on Variance Preservation}},
  author    = {Zhao, Zheng and Zhang, Ruiwen and Cox, James and Duling, David and Sarle, Warren},
  journal   = {Machine Learning},
  year      = {2013},
  pages     = {195-220},
  doi       = {10.1007/S10994-013-5373-4},
  volume    = {92},
  url       = {https://mlanthology.org/mlj/2013/zhao2013mlj-massively/}
}