ensemble learning

Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications ICML 2014 Theoretical Analyses on Ensemble and Multiple Kernel Regressors ACML 2014 Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training ICML 2013 Alternating Decision Forests CVPR 2013 Alternating Regression Forests for Object Detection and Pose Estimation ICCV 2013 Collaborative Active Learning of a Kernel Machine Ensemble for Recognition ICCV 2013 Decision Jungles: Compact and Rich Models for Classification NeurIPS 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013 Discriminative Subspace Clustering CVPR 2013 Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve ICCV 2013 Ensemble Learning for Confidence Measures in Stereo Vision CVPR 2013 Ensemble Projection for Semi-supervised Image Classification ICCV 2013 Ensemble Video Object Cut in Highly Dynamic Scenes CVPR 2013 Human Boosting ICML 2013 Multilabel Classification through Random Graph Ensembles ACML 2013 Quickly Boosting Decision Trees – Pruning Underachieving Features Early ICML 2013 Random Forests of Local Experts for Pedestrian Detection ICCV 2013 Randomized Ensemble Tracking ICCV 2013 Ranking Forests JMLR 2013 Reservoir Boosting : Between Online and Offline Ensemble Learning NeurIPS 2013 Semi-supervised Node Splitting for Random Forest Construction CVPR 2013 Sieving Regression Forest Votes for Facial Feature Detection in the Wild ICCV 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013 An Introduction to Artificial Prediction Markets for Classification JMLR 2012