Extremely Randomized Trees (2003)

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by Pierre Geurts
Venue:MACHINE LEARNING
Citations:130 - 34 self

Active Bibliography

3 Decision forests with oblique decision trees – Peter J. Tan, David L. Dowe - 2006
25 Random Forests and Adaptive Nearest Neighbors – Yi Lin, Yongho Jeon - 2002
1 Spectrum of Variable-Random Trees – Fei Tony Liu, Kai Ming Ting, Yang Yu, Zhi-hua Zhou
7 Maximizing tree diversity by building complete-random decision trees – Fei Tony Liu, Kai Ming Ting - 1995
7 Feature selection with ensembles, artificial variables, and redundancy elimination – Eugene Tuv, Alexander Borisov, George Runger, Kari Torkkola, Isabelle Guyon, Amir Reza Saffari - 2009
8 Comparing Pure Parallel Ensemble Creation Techniques Against Bagging – Lawrence O. Hall, Kevin W. Bowyer, Robert E. Banfield, Divya Bhadoria, W. Philip Kegelmeyer, Steven Eschrich - 2003
7 A Comparison of Ensemble Creation Techniques – Robert E. Banfield , Lawrence O. Hall, Kevin W. Bowyer, Divya Bhadoria, W. Philip Kegelmeyer , Steven Eschrich - 2004
3 RotBoost: a technique for combining rotation forest and AdaBoost – Chun-xia Zhang, Jiang-she Zhang - 2008
18 Improved Class Probability Estimates from Decision Tree Models – Dragos D. Margineantu, Thomas G. Dietterich - 2001
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Diversity Regularized Machine ∗ – Yang Yu, Yu-feng Li, Zhi-hua Zhou
Diversity Regularized Machine ∗ – Yang Yu, Yu-feng Li, Zhi-hua Zhou
7 Switching Class Labels to Generate Classification Ensembles – Gonzalo Martínez-muñoz, Alberto Suárez - 2005
4 Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography – Lior Rokach - 2009
3 Limiting the Number of Trees in Random Forests – Patrice Latinne, Olivier Debeir, Christine Decaestecker
35 Nearest neighbor classification from multiple feature subsets – Stephen D. Bay - 1999
17 Low bias bagged support vector machines – Giorgio Valentini, Thomas G. Dietterich - 2003
3 Nonlinear boosting projections for ensemble construction – Nicolás García-pedrajas, César García-osorio, Colin Fyfe, Dale Schuurmans
1 Ensemble Pruning via Individual Contribution Ordering – Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
Contents 1 Ensemble methods: a review 3 – Matteo Re, Giorgio Valentini