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/}
}