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Feature Shaping for Linear SVM Classifiers
HPL-2009-31 (R.1) Feature Shaping for Linear SVM Classifiers - Forman, George; Scholz, Martin; Rajaram, Shyamsundar
Keyword(s): text classification machine learning, feature weighting, feature scaling, SVM Abstract: Linear classifiers have been shown to be effective for many discrimination tasks. Irrespective of the learning algorithm itself, the final classifier has a weight to multiply by each feature. This suggests that ideally each input feature should be linearly correlated with the target variable (or ant ... Full Report More... |
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