Unsupervised Multi-Source Domain Adaptation for Regression

Guillaume Richard, Antoine de Mathelin, Georges Hébrail, Mathilde Mougeot, Nicolas Vayatis

ECML-PKDD 2020 pp. 395-411

doi:10.1007/978-3-030-67658-2_23 /ecmlpkdd/2020/richard2020ecmlpkdd-unsupervised/

Cite

Text

Richard et al. "Unsupervised Multi-Source Domain Adaptation for Regression." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67658-2_23

Markdown

[Richard et al. "Unsupervised Multi-Source Domain Adaptation for Regression." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/richard2020ecmlpkdd-unsupervised/) doi:10.1007/978-3-030-67658-2_23

BibTeX

@inproceedings{richard2020ecmlpkdd-unsupervised,
  title     = {{Unsupervised Multi-Source Domain Adaptation for Regression}},
  author    = {Richard, Guillaume and de Mathelin, Antoine and Hébrail, Georges and Mougeot, Mathilde and Vayatis, Nicolas},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2020},
  pages     = {395-411},
  doi       = {10.1007/978-3-030-67658-2_23},
  url       = {https://mlanthology.org/ecmlpkdd/2020/richard2020ecmlpkdd-unsupervised/}
}