multi-class classification

Multi-Class Classification with Maximum Margin Multiple Kernel ICML 2013 Multiclass Latent Locally Linear Support Vector Machines ACML 2013 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 On multi-class classification through the minimization of the confusion matrix norm ACML 2013 Optimizing 1-Nearest Prototype Classifiers CVPR 2013 Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem CVPR 2013 Selective sampling algorithms for cost-sensitive multiclass prediction ICML 2013 Semi-supervised Learning with Constraints for Person Identification in Multimedia Data CVPR 2013 Sparse Output Coding for Large-Scale Visual Recognition CVPR 2013 The price of bandit information in multiclass online classification COLT 2013 Unconfused Ultraconservative Multiclass Algorithms ACML 2013 A systematic approach to extracting semantic information from functional MRI data NeurIPS 2012 Classification Calibration Dimension for General Multiclass Losses NeurIPS 2012 Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Divergences and Risks for Multiclass Experiments COLT 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 Inverse Reinforcement Learning through Structured Classification NeurIPS 2012 MULTIBOOST: A Multi-purpose Boosting Package JMLR 2012 Multiclass Learning Approaches: A Theoretical Comparison with Implications NeurIPS 2012 Multiclass Learning with Simplex Coding NeurIPS 2012 Variational Multinomial Logit Gaussian Process JMLR 2012 Composite Multiclass Losses NeurIPS 2011 Double Updating Online Learning JMLR 2011 Learning from Partial Labels JMLR 2011 Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011