multi-label classification

Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013 Robust Bloom Filters for Large MultiLabel Classification Tasks NeurIPS 2013 A Composite Likelihood View for Multi-Label Classification AISTATS 2012 A Ranking-based KNN Approach for Multi-Label Classification ACML 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Feature-aware Label Space Dimension Reduction for Multi-label Classification NeurIPS 2012 Mandatory Leaf Node Prediction in Hierarchical Multilabel Classification NeurIPS 2012 MULTIBOOST: A Multi-purpose Boosting Package JMLR 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 On Multilabel Classification and Ranking with Partial Feedback NeurIPS 2012 An Exact Algorithm for F-Measure Maximization NeurIPS 2011 Hierarchically Supervised Latent Dirichlet Allocation NeurIPS 2011 Matrix Completion for Multi-label Image Classification NeurIPS 2011 Maximum Margin Multi-Label Structured Prediction NeurIPS 2011 MULAN: A Java Library for Multi-Label Learning JMLR 2011 Multi-label Active Learning with Auxiliary Learner ACML 2011 Multi-label Classification with Error-correcting Codes ACML 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Submodular Multi-Label Learning NeurIPS 2011 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010 Multiclass-Multilabel Classification with More Classes than Examples AISTATS 2010 Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition NeurIPS 2010