binary classification

Classification with Gaussians and Convex Loss JMLR 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Active Learning by Spherical Subdivision JMLR 2008 Approximations for Binary Gaussian Process Classification JMLR 2008 Classification with a Reject Option using a Hinge Loss JMLR 2008 Relative Margin Machines NeurIPS 2008 Support Vector Machines with a Reject Option NeurIPS 2008 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Infinitely Imbalanced Logistic Regression JMLR 2007 On the Consistency of Multiclass Classification Methods JMLR 2007 Optimal ROC Curve for a Combination of Classifiers NeurIPS 2007 The Generalized FITC Approximation NeurIPS 2007 Aggregating Classification Accuracy across Time: Application to Single Trial EEG NeurIPS 2006 Considering Cost Asymmetry in Learning Classifiers JMLR 2006 Online Passive-Aggressive Algorithms JMLR 2006 Ordinal Regression by Extended Binary Classification NeurIPS 2006 A Classification Framework for Anomaly Detection JMLR 2005 Preference Elicitation via Theory Refinement JMLR 2003 A Robust Minimax Approach to Classification JMLR 2002 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000