ensemble method

Detecting Click Fraud in Online Advertising: A Data Mining Approach JMLR 2014 Diverse Randomized Agents Vote to Win NeurIPS 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Ensembles for Time Series Forecasting ACML 2014 Learning with Pseudo-Ensembles NeurIPS 2014 Mondrian Forests: Efficient Online Random Forests NeurIPS 2014 Decision Jungles: Compact and Rich Models for Classification NeurIPS 2013 Ensemble Video Object Cut in Highly Dynamic Scenes CVPR 2013 Novel Boosting Frameworks to Improve the Performance of Collaborative Filtering ACML 2013 PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions CVPR 2013 Saliency Aggregation: A Data-Driven Approach CVPR 2013 The Rate of Convergence of AdaBoost JMLR 2013 Understanding variable importances in forests of randomized trees NeurIPS 2013 Ensemble weighted kernel estimators for multivariate entropy estimation NeurIPS 2012 Sampling Methods for the Nyström Method JMLR 2012 Active Classification based on Value of Classifier NeurIPS 2011 A Theory of Multiclass Boosting NeurIPS 2010 MOA: Massive Online Analysis JMLR 2010 Robust Clustering as Ensembles of Affinity Relations NeurIPS 2010 Sidestepping Intractable Inference with Structured Ensemble Cascades NeurIPS 2010 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination JMLR 2009 Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models NeurIPS 2009