Massively Parallel Feature Selection: An Approach Based on Variance Preservation

Zhao et al. "Massively Parallel Feature Selection: An Approach Based on Variance Preservation." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2012. doi:10.1007/978-3-642-33460-3_21

[Zhao et al. "Massively Parallel Feature Selection: An Approach Based on Variance Preservation." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2012.](https://mlanthology.org/ecmlpkdd/2012/zhao2012ecmlpkdd-massively/) doi:10.1007/978-3-642-33460-3_21

@inproceedings{zhao2012ecmlpkdd-massively,
  title     = {{Massively Parallel Feature Selection: An Approach Based on Variance Preservation}},
  author    = {Zhao, Zheng and Cox, James and Duling, David and Sarle, Warren},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2012},
  pages     = {237-252},
  doi       = {10.1007/978-3-642-33460-3_21},
  url       = {https://mlanthology.org/ecmlpkdd/2012/zhao2012ecmlpkdd-massively/}
}