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ensemble learning

1271 papers

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EL

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text classification (6776) ensemble method (560) transformer model (1988) transfer learning (5442) data augmentation (3037) sentiment analysis (2079) large language model (12755) neural network (6616) language model (4573) multi-label classification (1004)

Papers

Ensemble Video Object Cut in Highly Dynamic Scenes CVPR 2013
An Introduction to Artificial Prediction Markets for Classification JMLR 2012
Multi-Target Regression with Rule Ensembles JMLR 2012
SpeedBoost: Anytime Prediction with Uniform Near-Optimality AISTATS 2012
ML-Flex: A Flexible Toolbox for Performing Classification Analyses In Parallel JMLR 2012
Bayesian Classifier Combination AISTATS 2012
Context-Sensitive Decision Forests for Object Detection NIPS 2012
Ensemble weighted kernel estimators for multivariate entropy estimation NIPS 2012
Variance Penalizing AdaBoost NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Active Boosted Learning (ActBoost) AISTATS 2011
A Machine Learning Approach to Predict Chemical Reactions NIPS 2011
The Rate of Convergence of Adaboost COLT 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers ACML 2011
Error-Correcting Output Codes Library JMLR 2010
A Theory of Multiclass Boosting NIPS 2010
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking ACML 2010
Ensemble Nystrom Method NIPS 2009
Boosting with Spatial Regularization NIPS 2009
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NIPS 2009
Adaptive Martingale Boosting NIPS 2008
Support Vector Machinery for Infinite Ensemble Learning JMLR 2008
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts JMLR 2007