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Showing results 1 to 7 of 7

1
A Classifier Ensemble for Concept Drift Using a Constrained Penalized Regression Combiner

Wang, Li-Yu; Park, Cheolwoo; Choi, Hosik; Yeon, Kyupil, 4th International Conference on Information Technology and Quantitative Management (ITQM) - Promoting Business Analytics and Quantitative Management of Technology, pp.252 - 259, 4th International Conference on Information Technology and Quantitative Management (ITQM) - Promoting Business Analytics and Quantitative Management of Technology, 2016-08-16

2
Capturing the Elusive Poissonity in Web Traffic

Park, Cheolwoo; Shen, H; Marron, JS; Hernandez-Campos, F; Veitch, D, 14th IEEE International Symposium on Modeling, Analysis, and Simulation, pp.189 - 196, 14th IEEE International Symposium on Modeling, Analysis, and Simulation, 2006-09-11

3
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

4
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

5
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

6
Learning High Dimensional Multi-response Linear Models with Hybrid Quantum Computing

Chen, Jinyang; Park, Cheolwoo; Ke, Yuan, 3rd IEEE International Conference on Quantum Computing and Engineering (QCE), IEEE, 2022-09-19

7
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

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