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Simba is a recently proposed algorithm based on hypothesis-margin for feature selection, it uses maximizing hypothesis-margin as a criterion for evaluating ...
Simba is a recently proposed algorithm based on hypothesis-margin for feature selection, it uses maximizing hypothesis-margin as a criterion for evaluating ...
Simba is a recently proposed algorithm based on hypothesis-margin for feature selection, it uses maximizing hypothesis-margin as a criterion for evaluating ...
Simba is a recently proposed algorithm based on hypothesis-margin for feature selection, it uses maximizing hypothesis-margin as a criterion for evaluating ...
In this paper, we propose an unsupervised feature selection framework which simultaneously preserves the local geometric structure and global discriminative ...
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Hypothesis-margin Model Incorporating Structure Information for ...
dl.acm.org › doi › ISECS.2009.220
A Novel Hypothesis-Margin Based Method Incorporating Minimal-Redundancy Criterion for Feature Selection. ICNC '09: Proceedings of the 2009 Fifth ...
This paper introduces a margin based feature selection criterion and applies it to measure the quality of sets of features and devise novel selection ...
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Simba is a recently proposed algorithm based on hypothesis-margin for feature selection, it uses maximizing hypothesis-margin as a criterion ...
Oct 11, 2022 · In this paper, we propose MABUSE, which is a feature selection method that optimizes margins from a filter perspective.
[PDF] A novel feature selection algorithm based on hypothesis-margin
citeseerx.ist.psu.edu › document
Abstract—Iterative search margin based algorithm(Simba) has been proven effective for feature selection. However, it still has the following disadvantages: ...
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