multi-label classification

On the Optimality of Multi-Label Classification under Subset Zero-One Loss for Distributions Satisfying the Composition Property ICML 2015 Ontological Supervision for Fine Grained Classification of Street View Storefronts CVPR 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Surrogate Functions for Maximizing Precision at the Top ICML 2015 The Self-Normalized Estimator for Counterfactual Learning NeurIPS 2015 Condensed Filter Tree for Cost-Sensitive Multi-Label Classification ICML 2014 FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014 Learning a Concept Hierarchy from Multi-labeled Documents NeurIPS 2014 Learning Structured Models with the AUC Loss and Its Generalizations AISTATS 2014 Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014 Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks NeurIPS 2014 On Multilabel Classification and Ranking with Bandit Feedback JMLR 2014 On the Bayes-Optimality of F-Measure Maximizers JMLR 2014 Optimizing F-Measures by Cost-Sensitive Classification NeurIPS 2014 Predicting Useful Neighborhoods for Lazy Local Learning NeurIPS 2014 Sample Compression for Multi-label Concept Classes COLT 2014 Concurrent Action Detection with Structural Prediction ICCV 2013 Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification ICCV 2013 Efficient Multi-label Classification with Many Labels ICML 2013 Kernelized Bayesian Matrix Factorization ICML 2013 Multilabel Classification through Random Graph Ensembles ACML 2013 Multi-Label Classification with Unlabeled Data: An Inductive Approach ACML 2013 New Graph Structured Sparsity Model for Multi-label Image Annotations ICCV 2013