multi-class classification

Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Multiclass Learnability and the ERM principle COLT 2011 Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NeurIPS 2011 Robust Multi-Class Gaussian Process Classification NeurIPS 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 Transfer Learning by Borrowing Examples for Multiclass Object Detection NeurIPS 2011 A Potential-based Framework for Online Multi-class Learning with Partial Feedback AISTATS 2010 A Theory of Multiclass Boosting NeurIPS 2010 Error-Correcting Output Codes Library JMLR 2010 Exploiting the High Predictive Power of Multi-class Subgroups ACML 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010 (RF)^2 -- Random Forest Random Field NeurIPS 2010 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NeurIPS 2009 Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition NeurIPS 2009 Learning When Concepts Abound JMLR 2009 Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification NeurIPS 2009 Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods JMLR 2008 Large Margin Taxonomy Embedding for Document Categorization NeurIPS 2008 Ranking Individuals by Group Comparisons JMLR 2008 Regularized Co-Clustering with Dual Supervision NeurIPS 2008 Gini Support Vector Machine: Quadratic Entropy Based Robust Multi-Class Probability Regression JMLR 2007 McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NeurIPS 2007 Multi-class Protein Classification Using Adaptive Codes JMLR 2007 On the Consistency of Multiclass Classification Methods JMLR 2007