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Ensemble Methods

233 directly classified papers

Papers per year

Papers

Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications JMLR 2016
Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR INTERSPEECH 2016
Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016
Bootstrap Model Aggregation for Distributed Statistical Learning NIPS 2016
Pruning Random Forests for Prediction on a Budget NIPS 2016
An ensemble diversity approach to supervised binary hashing NIPS 2016
Fast and Flexible Monotonic Functions with Ensembles of Lattices NIPS 2016
Joint Calibration of Ensemble of Exemplar SVMs CVPR 2015
Global Refinement of Random Forest CVPR 2015
Combination Features and Models for Human Detection CVPR 2015
Optimally Combining Classifiers Using Unlabeled Data COLT 2015
Basis Mapping Based Boosting for Object Detection CVPR 2015
DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015
Context-based Unsupervised Data Fusion for Decision Making ICML 2015
Consistency of weighted majority votes NIPS 2014
One Millisecond Face Alignment with an Ensemble of Regression Trees CVPR 2014
Multi-Resolution Cascades for Multiclass Object Detection NIPS 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
Unified Face Analysis by Iterative Multi-Output Random Forests CVPR 2014
Mondrian Forests: Efficient Online Random Forests NIPS 2014
Efficiently Enforcing Diversity in Multi-Output Structured Prediction AISTATS 2014
Discriminative Ferns Ensemble for Hand Pose Recognition CVPR 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014
Discriminative Subspace Clustering CVPR 2013