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So now comes what the press reports as the Senate Republicans' skinny bill that features elimination of the individual and employer mandates.
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The Entropy-based Recursive Feature Elimination (E-RFE) method eliminates chunks of uninteresting features according to the entropy of the weights distribution of a SVM classifier.
SVM based recursive feature elimination (SVM-RFE) was used for eliminating features.
Support vector machine based recursive feature elimination [ 23] was used to eliminate the least important feature before subsequent analytical operations for assessing the contribution of the features.
This heuristic performs an iterative feature elimination process that is guided (in choosing which features to eliminate first) by an analysis of the rule sets generated by BioHEL.
Support vector machine based feature elimination was repeated three times, and the feature having the least score was eliminated from the analysis at each iteration.
We attempted to implement a feature elimination procedure on computers.
The remaining 191 genes were passed through an initial round of feature elimination.
Support vector machine recursive feature elimination (SVM-RFE) is a powerful feature selection algorithm.
We developed an expert system for blanking process planning for these three-dimensional materials using feature elimination.
A second-order cone programming approach for Support Vector Machines is extended by adding a second regularizer to encourage feature elimination.
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