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Ensemble Learning

433 papers

Papers per year

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Papers

Reservoir Boosting : Between Online and Offline Ensemble Learning NIPS 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Direct 0-1 Loss Minimization and Margin Maximization with Boosting NIPS 2013
Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013
Human Pose Estimation Using Body Parts Dependent Joint Regressors CVPR 2013
Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013
Fast Object Detection with Entropy-Driven Evaluation CVPR 2013
PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013
GeoF: Geodesic Forests for Learning Coupled Predictors CVPR 2013
Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013
Human Boosting ICML 2013
Ranking Forests JMLR 2013
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012
On Using Nearly-Independent Feature Families for High Precision and Confidence ACML 2012
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012
Multiclass Boosting: Theory and Algorithms NIPS 2011
Active Classification based on Value of Classifier NIPS 2011
Variance Penalizing AdaBoost NIPS 2011
The Fast Convergence of Boosting NIPS 2011
Boosting with Maximum Adaptive Sampling NIPS 2011
A Machine Learning Approach to Predict Chemical Reactions NIPS 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Machine Learning Markets AISTATS 2011
The Rate of Convergence of Adaboost COLT 2011
A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011