Support Vector Machines for Classification in Nonstandard Situations. - Yi Lin; Yoonkyung Lee; Grace Wahba (Mach. Learn., 2002)

Statistical Properties and Adaptive Tuning of Support Vector Machines. - Yi Lin; Grace Wahba; Hao Zhang 018; Yoonkyung Lee (Mach. Learn., 2002)

Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression Data. - Yoonkyung Lee; Cheol-Koo Lee (Bioinform., 2003)

A Bahadur Representation of the Linear Support Vector Machine. - Ja-Yong Koo; Yoonkyung Lee; Yuwon Kim; Changyi Park (J. Mach. Learn. Res., 2008)

Eigen-analysis of nonlinear PCA with polynomial kernels. - Zhiyu Liang; Yoonkyung Lee (Stat. Anal. Data Min., 2013)

Another look at linear programming for feature selection via methods of regularization. - Yonggang Yao; Yoonkyung Lee (Stat. Comput., 2014)

Two tales of variable selection for high dimensional regression: Screening and model building. - Cong Liu; Tao Shi; Yoonkyung Lee (Stat. Anal. Data Min., 2014)

Does modeling lead to more accurate classification?: A study of relative efficiency in linear classification. - Yoonkyung Lee; Rui Wang (J. Multivar. Anal., 2015)

Statistical Optimality in Multipartite Ranking and Ordinal Regression. - Kazuki Uematsu; Yoonkyung Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Dimensionality reduction for binary data through the projection of natural parameters. - Andrew J. Landgraf; Yoonkyung Lee (J. Multivar. Anal., 2020)

Generalized Principal Component Analysis: Projection of Saturated Model Parameters. - Andrew J. Landgraf; Yoonkyung Lee (Technometrics, 2020)

The Geometry of Nonlinear Embeddings in Kernel Discriminant Analysis. - Jiae Kim; Yoonkyung Lee; Zhiyu Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)