Feature selection for linear SVM with provable guarantees
نویسندگان
چکیده
منابع مشابه
Feature Selection for Linear SVM with Provable Guarantees
We give two provably accurate featureselection techniques for the linear SVM. The algorithms run in deterministic and randomized time respectively. Our algorithms can be used in an unsupervised or supervised setting. The supervised approach is based on sampling features from support vectors. We prove that the margin in the feature space is preserved to within -relative error of the margin in th...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2016
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2016.05.018