Publication | Closed Access
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
16
Citations
0
References
2008
Year
EngineeringMachine LearningText MiningNatural Language ProcessingSparse FeaturesSupport Vector MachineClassification MethodInformation RetrievalData ScienceData MiningPattern RecognitionDocument ClassificationSupervised LearningAutomatic ClassificationComputational Learning TheoryKnowledge DiscoveryLarge-scale Sparse DataIntelligent ClassificationComputer ScienceStatistical Learning TheoryCoordinate Descent MethodNatural LanguagKernel Method
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification and natural languag...