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Support Vector Machine

254 directly classified papers

Papers per year

Papers

Fast Kernel Classifiers with Online and Active Learning JMLR 2005
Maximum Margin Algorithms with Boolean Kernels JMLR 2005
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005
Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005
Learning the Kernel with Hyperkernels JMLR 2005
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005
A Compression Approach to Support Vector Model Selection JMLR 2004
Support Vector Machine Soft Margin Classifiers: Error Analysis JMLR 2004
Probability Estimates for Multi-class Classification by Pairwise Coupling JMLR 2004
In Defense of One-Vs-All Classification JMLR 2004
Rational Kernels: Theory and Algorithms JMLR 2004
Variable Selection Using SVM-based Criteria JMLR 2003
Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003
Sparseness of Support Vector Machines JMLR 2003
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces JMLR 2002
A Robust Minimax Approach to Classification JMLR 2002
The Set Covering Machine JMLR 2002
Minimal Kernel Classifiers JMLR 2002
Limitations of Learning Via Embeddings in Euclidean Half Spaces JMLR 2002
A New Approximate Maximal Margin Classification Algorithm JMLR 2001
On the Influence of the Kernel on the Consistency of Support Vector Machines JMLR 2001
Support Vector Machine Active Learning with Applications to Text Classification JMLR 2001
Lagrangian Support Vector Machines JMLR 2001
SVMTorch: Support Vector Machines for Large-Scale Regression Problems JMLR 2001
Support Vector Clustering JMLR 2001