ML Anthology

Bernoulli Random Forests: Closing the Gap Between Theoretical Consistency and Empirical Soundness

Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu
IJCAI 2016 pp. 2167-2173
/ijcai/2016/wang2016ijcai-bernoulli/
IJCAI Semantic Scholar

Cite

Text

Wang et al. "Bernoulli Random Forests: Closing the Gap Between Theoretical Consistency and Empirical Soundness." International Joint Conference on Artificial Intelligence, 2016.

Markdown

[Wang et al. "Bernoulli Random Forests: Closing the Gap Between Theoretical Consistency and Empirical Soundness." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/wang2016ijcai-bernoulli/)

BibTeX

@inproceedings{wang2016ijcai-bernoulli,
  title     = {{Bernoulli Random Forests: Closing the Gap Between Theoretical Consistency and Empirical Soundness}},
  author    = {Wang, Yisen and Tang, Qingtao and Xia, Shu-Tao and Wu, Jia and Zhu, Xingquan},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2016},
  pages     = {2167-2173},
  url       = {https://mlanthology.org/ijcai/2016/wang2016ijcai-bernoulli/}
}