AMF: Aggregated Mondrian forests for online learning-Reference-Cited by-同舟云学术

AMF: Aggregated Mondrian forests for online learning

Published:2021-05-19 Issue:3 Volume:83 Page:505-533
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J R Stat Soc Series B

Author:

Mourtada Jaouad¹,Gaïffas Stéphane²³^ORCID,Scornet Erwan¹

Affiliation:

1. CMAP CNRS Ecole Polytechnique Institut Polytechnique de Paris Palaiseau 91128 France

2. LPSM CNRS UMR 8001 Université Paris Diderot Paris France

3. DMA CNRS UMR 8553 Ecole normale supérieure Paris France

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

Reference43 articles.

1. Arlot S.&Genuer R.(2014)Analysis of purely random forests bias.arXiv preprint arXiv:1407.3939.

2. Bellemare M. Veness J.&Talvitie E.(2014)Skip context tree switching. InInternational conference on machine learning pp. 1458–1466.

3. Analysis of a random forests model;Biau G.;Journal of Machine Learning Research,2012

4. Consistency of random forests and other averaging classifiers;Biau G.;Journal of Machine Learning Research,2008

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

5. Large Scale Prediction with Decision Trees;Journal of the American Statistical Association;2023-11-13