Consistency of Online Random Forests

Abstract

As a testament to their success, the theory of random forests has long been outpaced by their application in practice. In this paper, we take a step towards narrowing this gap by providing a consistency result for online random forests.

Cite

Text

Denil et al. "Consistency of Online Random Forests." International Conference on Machine Learning, 2013.

Markdown

[Denil et al. "Consistency of Online Random Forests." International Conference on Machine Learning, 2013.](https://mlanthology.org/icml/2013/denil2013icml-consistency/)

BibTeX

@inproceedings{denil2013icml-consistency,
  title     = {{Consistency of Online Random Forests}},
  author    = {Denil, Misha and Matheson, David and Freitas, Nando},
  booktitle = {International Conference on Machine Learning},
  year      = {2013},
  pages     = {1256-1264},
  volume    = {28},
  url       = {https://mlanthology.org/icml/2013/denil2013icml-consistency/}
}