Ensemble Methods

The Fast Convergence of Boosting NeurIPS 2011 Variance Penalizing AdaBoost NeurIPS 2011 Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010 Boosting Classifier Cascades NeurIPS 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Joint Cascade Optimization Using A Product Of Boosted Classifiers NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Variable margin losses for classifier design NeurIPS 2010 Boosting with Spatial Regularization NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Adaptive Martingale Boosting NeurIPS 2008 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 One-Pass Boosting NeurIPS 2007 Regularized Boost for Semi-Supervised Learning NeurIPS 2007 AdaBoost is Consistent NeurIPS 2006 Chained Boosting NeurIPS 2006 Ensemble Pruning Via Semi-definite Programming JMLR 2006 Fast Discriminative Visual Codebooks using Randomized Clustering Forests NeurIPS 2006 Lossless Online Bayesian Bagging JMLR 2004 Round Robin Classification JMLR 2002 Shallow Parsing using Noisy and Non-Stationary Training Material JMLR 2002