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Showing results 9 to 15 of 15

9
Kernel methods for compositional data and dimensionality reduction = 구성비 데이터를 위한 커널 방법과 차원 축소link

Park, Junyoung; 박준영; 안정연; et al, 한국과학기술원, 2024

10
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

11
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

12
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

13
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

14
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

15
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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