2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2022
Error-based Knockoffs Inference for Controlled Feature Selection
Xuebin Zhao, Hong Chen, Yingjie Wang +4
Recently, the scheme of model-X knockoffs was proposed as a promising solution to address controlled feature selection under high-dimensional finite-sample settings. However, the p…
cs.LG2019★ 2 cited
Principal Model Analysis Based on Partial Least Squares
Qiwei Xie, Liang Tang, Weifu Li +2
Motivated by the Bagging Partial Least Squares (PLS) and Principal Component Analysis (PCA) algorithms, we propose a Principal Model Analysis (PMA) method in this paper. In the pro…