Search Machine Learning Repository: @inproceedings{icml2014c1_denil14,
    Publisher = {JMLR Workshop and Conference Proceedings},
    Title = {Narrowing the Gap: Random Forests In Theory and In Practice},
    Url = {http://jmlr.org/proceedings/papers/v32/denil14.pdf},
    Abstract = {Despite widespread interest and practical use, the theoretical properties of random forests are still not well understood. In this paper we contribute to this understanding in two ways. We present a new theoreti- cally tractable variant of random regression forests and prove that our algorithm is con- sistent. We also provide an empirical eval- uation, comparing our algorithm and other theoretically tractable random forest models to the random forest algorithm used in prac- tice. Our experiments provide insight into the relative importance of different simplifi- cations that theoreticians have made to ob- tain tractable models for analysis.},
    Author = {Misha Denil and David Matheson and Nando D. Freitas},
    Editor = {Tony Jebara and Eric P. Xing},
    Year = {2014},
    Booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    Pages = {665-673}
   }