Method for feature selection in a support vector machine using feature ranking
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United States of America Patent
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Sep 28, 2010
Grant Date -
Sep 25, 2008
app pub date -
Oct 30, 2007
filing date -
May 1, 1998
priority date (Note) -
Expired
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Abstract
-norm minimization), evaluation of cost function to identify a subset of features that are compatible with constraints imposed by the learning set, unbalanced correlation score, transductive feature selection and single feature using margin-based ranking. The features remaining after feature selection are then used to train a learning machine for purposes of pattern classification, regression, clustering and/or novelty detection.
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