Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions

Cite

Text

Guo. "Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021. doi:10.1007/978-3-030-86520-7_12

Markdown

[Guo. "Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021.](https://mlanthology.org/ecmlpkdd/2021/guo2021ecmlpkdd-midpoint/) doi:10.1007/978-3-030-86520-7_12

BibTeX

@inproceedings{guo2021ecmlpkdd-midpoint,
  title     = {{Midpoint Regularization: From High Uncertainty Training Labels to Conservative Classification Decisions}},
  author    = {Guo, Hongyu},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2021},
  pages     = {184-199},
  doi       = {10.1007/978-3-030-86520-7_12},
  url       = {https://mlanthology.org/ecmlpkdd/2021/guo2021ecmlpkdd-midpoint/}
}