support vector machine

Large Margin Learning of Upstream Scene Understanding Models NeurIPS 2010 Large Margin Multi-Task Metric Learning NeurIPS 2010 Learning Kernels with Radiuses of Minimum Enclosing Balls NeurIPS 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010 Maximum Relative Margin and Data-Dependent Regularization JMLR 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NeurIPS 2010 On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010 Sparse Semi-supervised Learning Using Conjugate Functions JMLR 2010 Spatial and anatomical regularization of SVM for brain image analysis NeurIPS 2010 The SHOGUN Machine Learning Toolbox JMLR 2010 Training and Testing Low-degree Polynomial Data Mappings via Linear SVM JMLR 2010 Tree Decomposition for Large-Scale SVM Problems JMLR 2010 Universal Consistency of Multi-Class Support Vector Classification NeurIPS 2010 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Adaptive Regularization for Transductive Support Vector Machine NeurIPS 2009 Analysis of SVM with Indefinite Kernels NeurIPS 2009 An Anticorrelation Kernel for Subsystem Training in Multiple Classifier Systems JMLR 2009 Bilinear classifiers for visual recognition NeurIPS 2009 Consistency and Localizability JMLR 2009 Discriminative Network Models of Schizophrenia NeurIPS 2009 DUOL: A Double Updating Approach for Online Learning NeurIPS 2009 Efficient and Accurate Lp-Norm Multiple Kernel Learning NeurIPS 2009