| 2007 |
|---|
| 9 | EE | Kwangkeun Yi,
Hosik Choi,
Jaehwang Kim,
Yongdai Kim:
An empirical study on classification methods for alarms from a bug-finding static C analyzer.
Inf. Process. Lett. 102(2-3): 118-123 (2007) |
| 2006 |
|---|
| 8 | EE | Jinseog Kim,
Yongdai Kim:
Maximum a posteriori pruning on decision trees and its application to bootstrap BUMPing.
Computational Statistics & Data Analysis 50(3): 710-719 (2006) |
| 7 | EE | Yongdai Kim,
Sunghoon Kwon,
Seuck Heun Song:
Multiclass sparse logistic regression for classification of multiple cancer types using gene expression data.
Computational Statistics & Data Analysis 51(3): 1643-1655 (2006) |
| 6 | EE | Youjip Won,
Hyungkyu Chang,
Jaemin Ryu,
Yongdai Kim,
Junseok Shim:
Intelligent storage: Cross-layer optimization for soft real-time workload.
TOS 2(3): 255-282 (2006) |
| 2004 |
|---|
| 5 | EE | Yongdai Kim,
Jinseog Kim:
Gradient LASSO for feature selection.
ICML 2004 |
| 4 | EE | Jaeyong Lee,
Yongdai Kim:
A new algorithm to generate beta processes.
Computational Statistics & Data Analysis 47(3): 441-453 (2004) |
| 3 | EE | Yongdai Kim,
Jinseog Kim:
Convex Hull Ensemble Machine for Regression and Classification.
Knowl. Inf. Syst. 6(6): 645-663 (2004) |
| 2003 |
|---|
| 2 | EE | Yongdai Kim:
Averaged Boosting: A Noise-Robust Ensemble Method.
PAKDD 2003: 388-393 |
| 2002 |
|---|
| 1 | EE | Yongdai Kim:
Convex Hull Ensemble Machine.
ICDM 2002: 243-249 |
