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对于双级变量选择的 Sparse Group 处罚

Gregor Buch1,2,3, Andreas Schulz1, Irene Schmidtmann2

  • 1Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Biometrical journal. Biometrische Zeitschrift
|May 15, 2024
PubMed
概括

稀疏集团罚款 (SGP) 框架通过灵活结合收缩方法来增强特征选择. 新的Sparse Group指数性惩罚 (SGE) 有效地识别了复杂数据集中的节模式.

关键词:
斯帕斯集团Lasso公司双层次的选择选择.组选择变量组选择变量脂质组的类型是什么模拟研究是模拟研究.

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