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.
- Publication:
-
arXiv e-prints
- Pub Date:
- February 2013
- DOI:
- 10.48550/arXiv.1302.4853
- arXiv:
- arXiv:1302.4853
- Bibcode:
- 2013arXiv1302.4853D
- Keywords:
-
- Statistics - Machine Learning
- E-Print:
- To appear in Proceedings of the 30th International Conference on Machine Learning, 2013