Classification

Multiclass Classification with Multi-Prototype Support Vector Machines JMLR 2005 Separating a Real-Life Nonlinear Image Mixture JMLR 2005 Tutorial on Practical Prediction Theory for Classification JMLR 2005 Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005 A Compression Approach to Support Vector Model Selection JMLR 2004 A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004 Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004 Boosting as a Regularized Path to a Maximum Margin Classifier JMLR 2004 Distance-Based Classification with Lipschitz Functions JMLR 2004 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004 Generalization Error Bounds for Threshold Decision Lists JMLR 2004 In Defense of One-Vs-All Classification JMLR 2004 Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming JMLR 2004 Lossless Online Bayesian Bagging JMLR 2004 Model Averaging for Prediction with Discrete Bayesian Networks JMLR 2004 On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition JMLR 2004 Probability Estimates for Multi-class Classification by Pairwise Coupling JMLR 2004 Randomized Variable Elimination JMLR 2004 Rational Kernels: Theory and Algorithms JMLR 2004 Second Order Cone Programming Formulations for Feature Selection JMLR 2004 Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004