Bagging, Boosting and Ensemble Methods
- 21 December 2011
- book chapter
- Published by Springer Science and Business Media LLC
- p. 985-1022
- https://doi.org/10.1007/978-3-642-21551-3_33
Abstract
No abstract availableThis publication has 45 references indexed in Scilit:
- Simultaneous analysis of Lasso and Dantzig selectorThe Annals of Statistics, 2009
- Convexity, Classification, and Risk BoundsJournal of the American Statistical Association, 2006
- A multivariate FGD technique to improve VaR computation in equity marketsComputational Management Science, 2005
- Volatility estimation with functional gradient descent for very high-dimensional financial time seriesJournal of Computational Finance, 2003
- Improving nonparametric regression methods by bagging and boostingComputational Statistics & Data Analysis, 2002
- Random ForestsMachine Learning, 2001
- Prediction Games and Arcing AlgorithmsNeural Computation, 1999
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and VariantsMachine Learning, 1999
- Arcing classifier (with discussion and a rejoinder by the author)The Annals of Statistics, 1998
- Shape Quantization and Recognition with Randomized TreesNeural Computation, 1997