Ensemble Learning

Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009 Positive Semidefinite Metric Learning with Boosting NeurIPS 2009 Potential-Based Agnostic Boosting NeurIPS 2009 Adaptive Martingale Boosting NeurIPS 2008 MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 Simple Local Models for Complex Dynamical Systems NeurIPS 2008 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Agreement-Based Learning NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007 Ensemble Clustering using Semidefinite Programming NeurIPS 2007 Learning with Tree-Averaged Densities and Distributions 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 Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NeurIPS 2006 Bayesian Ensemble Learning NeurIPS 2006 Chained Boosting NeurIPS 2006 Quantile Regression Forests JMLR 2006 Sparse Boosting JMLR 2006 Efficient Margin Maximizing with Boosting JMLR 2005