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AdaBoost-based multiple SVM-RFE for classification of mammograms in DDSM
53
Zitationen
2
Autoren
2009
Jahr
Abstract
Our modified method may be a possible alternative to SVM-RFE or the original MSVM-RFE in many cases of interest. In the future, we need a specific method to effectively combine models trained during the feature selection process and a way to combine feature subsets generated from individual SVM-RFE instances.
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