Showing results 8 to 15 of 15
Gene selection using support vector machines with non-convex penalty Zhang, HH; Ahn, Jeongyoun; Lin, X; Park, Cheolwoo, BIOINFORMATICS, v.22, no.1, pp.88 - 95, 2006-01 |
Kernel methods for compositional data and dimensionality reduction = 구성비 데이터를 위한 커널 방법과 차원 축소link Park, Junyoung; 박준영; 안정연; et al, 한국과학기술원, 2024 |
Kernel Methods for Radial Transformed Compositional Data with Many Zeros Park, Junyoung; Yoon, Changwon; Park, Cheolwoo; Ahn, Jeongyoun, The 39th International Conference on Machine Learning, ICML 2022, pp.17458 - 17472, International Conference on Machine Learning, 2022-07-21 |
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation Park, Jun Young; Ahn, Jeongyoun; Park, Cheolwoo, 40th International Conference on Machine Learning, ICML 2023, pp.27034 - 27047, ML Research Press, 2023-07-27 |
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation Park, Jun Young; Ahn, Jeongyoun; Park, Cheolwoo, 40th International Conference on Machine Learning, ICML 2023, pp.27034 - 27047, ML Research Press, 2023-07-27 |
Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data Poythress, JC; Ahn, Jeongyoun; Park, Cheolwoo, JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, v.31, no.1, pp.190 - 203, 2022-03 |
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy Lee, Bonwoo; Ahn, Jeongyoun; Park, Cheolwoo, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12-13 |
Support vector machines with adaptive L-q penalty Liu, Yufeng; Zhang, Hao Helen; Park, Cheolwoo; Ahn, Jeongyoun, COMPUTATIONAL STATISTICS & DATA ANALYSIS, v.51, no.12, pp.6380 - 6394, 2007-08 |
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