ensemble learning

1271 papers

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Also known as

EL

Co-occurring keywords

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

Regularized Boost for Semi-Supervised Learning NIPS 2007

Boosting the Area under the ROC Curve NIPS 2007

Agreement-Based Learning NIPS 2007

One-Pass Boosting NIPS 2007

AdaBoost is Consistent NIPS 2006

Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006

A PAC-Bayes Risk Bound for General Loss Functions NIPS 2006

PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NIPS 2006

Ensemble Pruning Via Semi-definite Programming JMLR 2006

Bayesian Ensemble Learning NIPS 2006

Fast Discriminative Visual Codebooks using Randomized Clustering Forests NIPS 2006

Efficient Margin Maximizing with Boosting JMLR 2005

Managing Diversity in Regression Ensembles JMLR 2005

Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004

Lossless Online Bayesian Bagging JMLR 2004

Online Choice of Active Learning Algorithms JMLR 2004

Designing Committees of Models through Deliberate Weighting of Data Points JMLR 2003

Shallow Parsing using Noisy and Non-Stationary Training Material JMLR 2002

Round Robin Classification JMLR 2002

Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002

Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000