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Ensemble Learning

433 papers

Papers per year

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Papers

A Theory of Multiclass Boosting NIPS 2010
Sidestepping Intractable Inference with Structured Ensemble Cascades NIPS 2010
Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010
Robust Clustering as Ensembles of Affinity Relations NIPS 2010
Empirical Bernstein Boosting AISTATS 2010
Potential-Based Agnostic Boosting NIPS 2009
Ensemble Nystrom Method NIPS 2009
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
Boosting with Spatial Regularization NIPS 2009
Adaptive Martingale Boosting NIPS 2008
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NIPS 2008
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NIPS 2008
Ensemble Clustering using Semidefinite Programming NIPS 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search NIPS 2007
One-Pass Boosting NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Agreement-Based Learning NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007
Bayesian Ensemble Learning NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Quantile Regression Forests JMLR 2006
Sparse Boosting JMLR 2006