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Ensemble Methods

267 papers

Papers per year

3
9
27
36
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Papers

Variance Penalizing AdaBoost NIPS 2011
(RF)^2 -- Random Forest Random Field NIPS 2010
Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009
Adaptive Martingale Boosting NIPS 2008
FilterBoost: Regression and Classification on Large Datasets NIPS 2007
Ensemble Clustering using Semidefinite Programming NIPS 2007
One-Pass Boosting NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Chained Boosting NIPS 2006
AdaBoost is Consistent NIPS 2006
Ensemble Pruning Via Semi-definite Programming JMLR 2006
Lossless Online Bayesian Bagging JMLR 2004
Shallow Parsing using Noisy and Non-Stationary Training Material JMLR 2002
Round Robin Classification JMLR 2002