Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm

Cite

Text

Rolet et al. "Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009. doi:10.1007/978-3-642-04174-7_20

Markdown

[Rolet et al. "Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2009.](https://mlanthology.org/ecmlpkdd/2009/rolet2009ecmlpkdd-boosting/) doi:10.1007/978-3-642-04174-7_20

BibTeX

@inproceedings{rolet2009ecmlpkdd-boosting,
  title     = {{Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm}},
  author    = {Rolet, Philippe and Sebag, Michèle and Teytaud, Olivier},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2009},
  pages     = {302-317},
  doi       = {10.1007/978-3-642-04174-7_20},
  url       = {https://mlanthology.org/ecmlpkdd/2009/rolet2009ecmlpkdd-boosting/}
}