ensemble learning

A Randomized Ensemble Approach to Industrial CT Segmentation ICCV 2015 DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015 Effective Learning-Based Illuminant Estimation Using Simple Features CVPR 2015 Efficient and Robust Automated Machine Learning NeurIPS 2015 Global Refinement of Random Forest CVPR 2015 Joint Calibration of Ensemble of Exemplar SVMs CVPR 2015 Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015 Learning to Propose Objects CVPR 2015 Naive Bayes Super-Resolution Forest ICCV 2015 Online Gradient Boosting NeurIPS 2015 Optimally Combining Classifiers Using Unlabeled Data COLT 2015 Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2015 Sparse Local Embeddings for Extreme Multi-label Classification NeurIPS 2015 Video Super-Resolution via Deep Draft-Ensemble Learning ICCV 2015 A Bayesian Framework for Online Classifier Ensemble ICML 2014 Agnostic Bayesian Learning of Ensembles ICML 2014 Consistency of weighted majority votes NeurIPS 2014 Deep Boosting ICML 2014 Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014 Ensemble Methods for Structured Prediction ICML 2014 EnsembleSVM: A Library for Ensemble Learning Using Support Vector Machines JMLR 2014 Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Multi-Class Deep Boosting NeurIPS 2014 One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014