Journal of Machine Learning Research · 2006 · 29 citations · 0 references
ComputingComputer ScienceAlgorithmsMachine LearningOptimizationKernel MethodsLarge-scale OptimizationOptimization For Machine LearningOptimization TheoryQuadratic ProgrammingSupport Vector MachinesConstraint Optimization ProblemsLarge-scale Quadratic ProgrammingLarge-scale Support Vector MachinesQuadratic OptimizationSupport Vector ClassificationSvmsTrainingTraining Time
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small working set of variab...