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Ensembles of randomized decision trees, usually referred to as random forests, are widely used for classification and regression tasks in machine learning and statistics.
Extensions to the CART algorithm
S. L. Crawford · 1989
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Incremental induction of decision trees
P. E. Utgoff · 1989
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Bagging predictors
L. Breiman · 1996
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Bayesian CART model search
H. A. Chipman, E. I. George, and R. E. McCulloch · 1998
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A Bayesian CART algorithm
D. G. T. Denison, B. K. Mallick, and A. F. M. Smith · 1998
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Ensemble methods in machine learning
T. G. Dietterich · 2000
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Mining high-speed data streams
P. Domingos and G. Hulten · 2000
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Bayesian model averaging is not model combination
T. P. Minka · 2000
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Random forests
L. Breiman · 2001
Cited alongside, same era.
PERT - Perfect Random Tree Ensembles
A. Cutler and G. Zhao · 2001
Cited alongside, same era.
A bit of progress in language modeling
J. T. Goodman · 2001
Cited alongside, same era.
An empirical comparison of supervised learning algorithms
R. Caruana and A. Niculescu-Mizil · 2006
Cited alongside, same era.
Extremely randomized trees
P. Geurts, D. Ernst, and L. Wehenkel · 2006
Cited alongside, same era.
Combinatorial stochastic processes , volume 32
J. Pitman · 2006
Cited alongside, same era.
A hierarchical Bayesian language model based on Pitman–Yor processes
Y. W. Teh · 2006
On-line random forests
A. Saffari, C. Leistner, J. Santner, M. Godec, and H. Bischof · 2009
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A stochastic memoizer for sequence data
F. Wood, C. Archambeau, J. Gasthaus, L. James, and Y. W. Teh · 2009
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Scikit-learn: Machine Learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011
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Computability, inference and modeling in probabilistic programming
D. M. Roy · 2011
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Dynamic trees for learning and design
M. A. Taddy, R. B. Gramacy, and N. G. Polson · 2011
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Decision forests: A unified framework for classification, regression, density estimation, manifold learning and semi-supervised learning
A. Criminisi, J. Shotton, and E. Konukoglu · 2012
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Cited alongside, same era.
The Mondrian process
D. M. Roy and Y. W. Teh · 2009
Cited alongside, same era.
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Consistency of online random forests
M. Denil, D. Matheson, and N. de Freitas · 2013
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Top-down particle filtering for Bayesian decision trees
B. Lakshminarayanan, D. M. Roy, and Y. W. Teh · 2013
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