Yoonkyung Lee - researchr alias

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Viewing Publication 1 - 12 from 12

2023

The Geometry of Nonlinear Embeddings in Kernel Discriminant AnalysisJiae Kim, Yoonkyung Lee, Zhiyu Liang. pami, 45(4):5203-5217, April 2023. [doi]

2020

Dimensionality reduction for binary data through the projection of natural parametersAndrew J. Landgraf, Yoonkyung Lee. ma, 180:104668, 2020. [doi]

Generalized Principal Component Analysis: Projection of Saturated Model ParametersAndrew J. Landgraf, Yoonkyung Lee. technometrics, 62(4):459-472, 2020. [doi]

2015

Does modeling lead to more accurate classification?: A study of relative efficiency in linear classificationYoonkyung Lee, Rui Wang. ma, 133:232-250, 2015. [doi]

Statistical Optimality in Multipartite Ranking and Ordinal RegressionKazuki Uematsu, Yoonkyung Lee. pami, 37(5):1080-1094, 2015. [doi]

2014

Two tales of variable selection for high dimensional regression: Screening and model buildingCong Liu, Tao Shi, Yoonkyung Lee. sadm, 7(2):140-159, 2014. [doi]

Another look at linear programming for feature selection via methods of regularizationYonggang Yao, Yoonkyung Lee. sac, 24(5):885-905, 2014. [doi]

2013

Eigen-analysis of nonlinear PCA with polynomial kernelsZhiyu Liang, Yoonkyung Lee. sadm, 6(6):529-544, 2013. [doi]

2008

A Bahadur Representation of the Linear Support Vector MachineJa-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Park. jmlr, 9:1343-1368, 2008. [doi]

2003

Classification of Multiple Cancer Types by Multicategory Support Vector Machines Using Gene Expression DataYoonkyung Lee, Cheol-Koo Lee. bioinformatics, 19(9):1132-1139, 2003.

2002

Support Vector Machines for Classification in Nonstandard SituationsYi Lin, Yoonkyung Lee, Grace Wahba. ml, 46(1-3):191-202, 2002.

Statistical Properties and Adaptive Tuning of Support Vector MachinesYi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee. ml, 48(1-3):115-136, 2002.

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