 | 2012 |
| 15 |  | Hsuan-Tien Lin,
Ling Li:
Reduction from Cost-Sensitive Ordinal Ranking to Weighted Binary Classification.
Neural Computation 24(5): 1329-1367 (2012) |
| 2011 |
| 14 |  | Te-Kang Jan,
Hsuan-Tien Lin,
Hsin-Pai Chen,
Tsung-Chen Chern,
Chung-Yueh Huang,
Bing-Cheng Wen,
Chia-Wen Chung,
Yung-Jui Li,
Ya-Ching Chuang,
Li-Li Li,
Yu-Jiun Chan,
Juen-Kai Wang,
Yuh-Lin Wang,
Chi-Hung Lin,
Da-Wei Wang:
Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering.
BIBM 2011: 390-393 |
| 13 |  | Yin-Hsi Kuo,
Hsuan-Tien Lin,
Wen-Huang Cheng,
Yi-Hsuan Yang,
Winston H. Hsu:
Unsupervised auxiliary visual words discovery for large-scale image object retrieval.
CVPR 2011: 905-912 |
| 12 |  | Chun-Sung Ferng,
Hsuan-Tien Lin:
Multi-label Classification with Error-correcting Codes.
Journal of Machine Learning Research - Proceedings Track 20: 281-295 (2011) |
| 11 |  | Chen-Wei Hung,
Hsuan-Tien Lin:
Multi-label Active Learning with Auxiliary Learner.
Journal of Machine Learning Research - Proceedings Track 20: 315-332 (2011) |
| 2010 |
| 10 |  | Han-Hsing Tu,
Hsuan-Tien Lin:
One-sided Support Vector Regression for Multiclass Cost-sensitive Classification.
ICML 2010: 1095-1102 |
| 2009 |
| 9 |  | Hung-Yi Lo,
Kai-Wei Chang,
Shang-Tse Chen,
Tsung-Hsien Chiang,
Chun-Sung Ferng,
Cho-Jui Hsieh,
Yi-Kuang Ko,
Tsung-Ting Kuo,
Hung-Che Lai,
Ken-Yi Lin,
Chia-Hsuan Wang,
Hsiang-Fu Yu,
Chih-Jen Lin,
Hsuan-Tien Lin,
Shou-De Lin:
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.
Journal of Machine Learning Research - Proceedings Track 7: 57-64 (2009) |
| 2008 |
| 8 |  | Hsuan-Tien Lin,
Ling Li:
Support Vector Machinery for Infinite Ensemble Learning.
Journal of Machine Learning Research 9: 285-312 (2008) |
| 2007 |
| 7 |  | Ling Li,
Hsuan-Tien Lin:
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent.
IJCNN 2007: 749-754 |
| 6 |  | 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 |  | Hsuan-Tien Lin,
Ling Li:
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.
ALT 2006: 319-333 |
| 4 |  | Ling Li,
Hsuan-Tien Lin:
Ordinal Regression by Extended Binary Classification.
NIPS 2006: 865-872 |
| 2005 |
| 3 |  | Hsuan-Tien Lin,
Ling Li:
Infinite Ensemble Learning with Support Vector Machines.
ECML 2005: 242-254 |
| 2 |  | Ling Li,
Amrit Pratap,
Hsuan-Tien Lin,
Yaser S. Abu-Mostafa:
Improving Generalization by Data Categorization.
PKDD 2005: 157-168 |
| 2002 |
| 1 |  | 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) |