support vector machine

Tighter PAC-Bayes Bounds NeurIPS 2006 A Classification Framework for Anomaly Detection JMLR 2005 Active Learning to Recognize Multiple Types of Plankton JMLR 2005 A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Dimension Reduction in Text Classification with Support Vector Machines JMLR 2005 Fast Kernel Classifiers with Online and Active Learning JMLR 2005 Generalization Bounds and Complexities Based on Sparsity and Clustering for Convex Combinations of Functions from Random Classes JMLR 2005 Large Margin Methods for Structured and Interdependent Output Variables JMLR 2005 Learning from Examples as an Inverse Problem JMLR 2005 Learning Multiple Tasks with Kernel Methods JMLR 2005 Learning the Kernel Function via Regularization JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005 Learning with Decision Lists of Data-Dependent Features JMLR 2005 Machine Learning Methods for Predicting Failures in Hard Drives: A Multiple-Instance Application JMLR 2005 Maximum Margin Algorithms with Boolean Kernels JMLR 2005 Multiclass Classification with Multi-Prototype Support Vector Machines 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 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 Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004 Image Categorization by Learning and Reasoning with Regions JMLR 2004 In Defense of One-Vs-All Classification JMLR 2004