Ensemble Methods
300 papers
Papers per year
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7
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2
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6
14
15
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16
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30
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24
33
36
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Papers
Pruning Random Forests for Prediction on a Budget
NeurIPS 2016
Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications
JMLR 2016
Basis Mapping Based Boosting for Object Detection
CVPR 2015
Combination Features and Models for Human Detection
CVPR 2015
Context-based Unsupervised Data Fusion for Decision Making
ICML 2015
DART: Dropouts meet Multiple Additive Regression Trees
AISTATS 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
Online Gradient Boosting
NeurIPS 2015
Optimal and Adaptive Algorithms for Online Boosting
ICML 2015
Optimally Combining Classifiers Using Unlabeled Data
COLT 2015
A Bayesian Framework for Online Classifier Ensemble
ICML 2014
A Drifting-Games Analysis for Online Learning and Applications to Boosting
NeurIPS 2014
Consistency of weighted majority votes
NeurIPS 2014
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
NeurIPS 2014
Discriminative Ferns Ensemble for Hand Pose Recognition
CVPR 2014
Efficiently Enforcing Diversity in Multi-Output Structured Prediction
AISTATS 2014
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
ICML 2014
Learning with Pseudo-Ensembles
NeurIPS 2014
Local Decorrelation For Improved Pedestrian Detection
NeurIPS 2014
Mondrian Forests: Efficient Online Random Forests
NeurIPS 2014
Multi-Class Deep Boosting
NeurIPS 2014
Multi-Resolution Cascades for Multiclass Object Detection
NeurIPS 2014
One Millisecond Face Alignment with an Ensemble of Regression Trees
CVPR 2014