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A Sparse-Modeling Based Approach for Class Specific Feature Selection
In this work, we propose a novel Feature Selection framework called Sparse-Modeling Based Approach for Class Specific Feature Selection (SMBA-CSFS), that simultaneously exploits the idea of Sparse Modeling and Class-Specific Feature Selection. Feature selection plays a key role in several fields (e....
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| Publicado no: | PeerJ Comput Sci |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7924712/ https://ncbi.nlm.nih.gov/pubmed/33816890 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.237 |
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