摘要：Chen et al. (2018) presented a kernel learning method with double sparsity penalties to achieve variable selection and data extraction simultaneously. In this article, we highlight the authors’ contributions and provide several remarks that may be worth further discussions and exploration.
关键词：kernel learning; data extraction; variable selection; tuning parameter selection
