Dec 5, 2014 · In this article, we provide a selective review of robust penalized variable selection approaches especially designed for high-dimensional data ...
In this article, we provide a selective review of robust penalized variable selection approaches especially designed for high-dimensional data from ...
We discuss the robust loss functions, penalty functions and computational algorithms. The theoretical properties and implementation are also briefly examined.
Table 1 : Published articles that adopt penalized robust variable... A selective review of robust variable selection with applications in bioinformatics.
A selective review of robust variable selection with applications in bioinformatics, Brief. ... robust variable selection with applications in bioinformatics ...
Jul 5, 2021 · Our new robust meta-analysis method has two main advantages: (1) the Fast-LTS algorithm guarantees the convergence of the selected clean subsets ...
A review of feature selection techniques in bioinformatics
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This paper reviews the application of multiobjective optimization in the fields of bioinformatics and computational biology. A survey of existing work, ...
Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection. ... A selective overview of variable ...
Here, we propose a novel marginal Bayesian variable selection method for the robust identification of G×E interactions. As heavy-tailed distributions and ...
A selective review of robust variable selection with appli- cations in bioinformatics. Briefings in bioinformatics, 16(5):873–883, 2015. [2] Cen Wu, Fei ...