support vector machine

Knowledge-Based Kernel Approximation JMLR 2004 Learning the Kernel Matrix with Semidefinite Programming 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 Rational Kernels: Theory and Algorithms JMLR 2004 Some Properties of Regularized Kernel Methods JMLR 2004 Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004 The Entire Regularization Path for the Support Vector Machine JMLR 2004 The Minimum Error Minimax Probability Machine JMLR 2004 Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003 Distributional Word Clusters vs. Words for Text Categorization JMLR 2003 Kernel Methods for Relation Extraction JMLR 2003 Learning over Sets using Kernel Principal Angles JMLR 2003 Sparseness of Support Vector Machines JMLR 2003 Use of the Zero-Norm with Linear Models and Kernel Methods JMLR 2003 Variable Selection Using SVM-based Criteria JMLR 2003 Word-Sequence Kernels JMLR 2003 A Robust Minimax Approach to Classification JMLR 2002 Covering Number Bounds of Certain Regularized Linear Function Classes JMLR 2002 Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002 Minimal Kernel Classifiers JMLR 2002 Rademacher and Gaussian Complexities: Risk Bounds and Structural Results JMLR 2002 Stability and Generalization JMLR 2002 Text Classification using String Kernels JMLR 2002 The Set Covering Machine JMLR 2002