A comparison of methods for multi-class support vector machines

@inproceedings{Hsu2015ACO,
  title={A comparison of methods for multi-class support vector machines},
  author={Chih-Wei Chen Hsu and Chih-Jen Lin},
  year={2015}
}
Support vector machines (SVM) were originally designed for binary classification. How to effectively extend it for multi-class classification is still an on-going research issue. Several methods have been proposed where typically we construct a multi-class classifier by combining several binary classifiers. Some authors also proposed methods that consider all classes at once. As it is computationally more expensive to solve multiclass problems, comparisons of these methods using large-scale… CONTINUE READING

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