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Ensemble Methods

267 papers

Papers per year

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9
27
36
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Papers

NILC-USP at SemEval-2017 Task 4: A Multi-view Ensemble for Twitter Sentiment Analysis SEMEVAL 2017
DUTH at SemEval-2017 Task 4: A Voting Classification Approach for Twitter Sentiment Analysis SEMEVAL 2017
INGEOTEC at SemEval 2017 Task 4: A B4MSA Ensemble based on Genetic Programming for Twitter Sentiment Analysis SEMEVAL 2017
IBA-Sys at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News SEMEVAL 2017
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
Ensemble Learning for Multi-Source Neural Machine Translation COLING 2016
HyperDepth: Learning Depth From Structured Light Without Matching CVPR 2016
Analytical Assessment of Dual-Stream Merging for Noise-Robust ASR INTERSPEECH 2016
Wavelet decompositions of Random Forests - smoothness analysis, sparse approximation and applications JMLR 2016
DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015
Optimally Combining Classifiers Using Unlabeled Data COLT 2015
Combination Features and Models for Human Detection CVPR 2015
Global Refinement of Random Forest CVPR 2015
Basis Mapping Based Boosting for Object Detection CVPR 2015
Joint Calibration of Ensemble of Exemplar SVMs CVPR 2015
Learning Ensembles of Potential Functions for Structured Prediction With Latent Variables ICCV 2015
Context-based Unsupervised Data Fusion for Decision Making ICML 2015
Optimal and Adaptive Algorithms for Online Boosting ICML 2015
Mondrian Forests: Efficient Online Random Forests NIPS 2014
Consistency of weighted majority votes NIPS 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing NIPS 2014
Multi-Resolution Cascades for Multiclass Object Detection NIPS 2014