| 2007 |
|---|
| 7 | EE | Ling Li,
Hsuan-Tien Lin:
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent.
IJCNN 2007: 749-754 |
| 6 | EE | Hsuan-Tien Lin,
Chih-Jen Lin,
Ruby C. Weng:
A note on Platt's probabilistic outputs for support vector machines.
Machine Learning 68(3): 267-276 (2007) |
| 2006 |
|---|
| 5 | EE | Hsuan-Tien Lin,
Ling Li:
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.
ALT 2006: 319-333 |
| 4 | EE | Ling Li,
Hsuan-Tien Lin:
Ordinal Regression by Extended Binary Classification.
NIPS 2006: 865-872 |
| 2005 |
|---|
| 3 | EE | Hsuan-Tien Lin,
Ling Li:
Infinite Ensemble Learning with Support Vector Machines.
ECML 2005: 242-254 |
| 2 | EE | Ling Li,
Amrit Pratap,
Hsuan-Tien Lin,
Yaser S. Abu-Mostafa:
Improving Generalization by Data Categorization.
PKDD 2005: 157-168 |
| 2002 |
|---|
| 1 | EE | Shuo-Peng Liao,
Hsuan-Tien Lin,
Chih-Jen Lin:
A Note on the Decomposition Methods for Support Vector Regression.
Neural Computation 14(6): 1267-1281 (2002) |
