Individual feature selection in each One-versus-One classifier improves multi-class SVM performance

@inproceedings{Huang2013IndividualFS,
  title={Individual feature selection in each One-versus-One classifier improves multi-class SVM performance},
  author={Phoenix X. Huang},
  year={2013}
}
Multiclass One-versus-One (OvO) SVM, which is constructed by assembling a group of binary classifiers, is usually treated as a black-box. The usual Multiclass Feature Selection (MFS) algorithm chooses an identical subset of features for every OvO SVM. We question whether the standard process of applying feature selection and then constructing the multiclass classifier is best. We propose that Individual Feature Selection (IFS) can be directly applied to each binary OvO SVM. More specifically… CONTINUE READING

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