A unified algorithm for mixed \(l_{2,p}\)-minimizations and its application in feature selection
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Publication:457211
DOI10.1007/s10589-014-9648-xzbMath1305.90339OpenAlexW2068320780MaRDI QIDQ457211
Yuanping Wang, Li-ping Wang, Song-can Chen
Publication date: 26 September 2014
Published in: Computational Optimization and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10589-014-9648-x
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Cites Work
- Enhancing sparsity by reweighted \(\ell _{1}\) minimization
- Lower Bound Theory of Nonzero Entries in Solutions of $\ell_2$-$\ell_p$ Minimization
- The Gradient Projection Method for Nonlinear Programming. Part I. Linear Constraints
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data