public:papers
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| - | * Hsuan-Tien Lin. A Simple Cost-sensitive Multiclass Classification Algorithm Using One-versus-one Comparisons, | + | * [[http:// |
| - | * Hsuan-Tien Lin. Cost-sensitive Classification: | + | * Chao-Kai Chiang, Chia-Jung Lee and Chi-Jen Lu. Beating Bandits in Gradually Evolving Worlds. COLT 2013. |
| - | * Farbound Tai and Hsuan-Tien Lin. Multi-label Classification with Principle Label Space Transformation. National Taiwan University, September 2010; submitted. A preliminary version appeared in MLD Workshop @ ICML '10. [[http:// | + | * Chao-Kai Chiang, Tianbao Yang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu: Online Optimization |
| - | * Ming-Feng Tsai, Shang-Tse Chen, Yao-Nan Chen, Chun-Sung Ferng, Chia-Hsuan Wang, Tzay-Yeu Wen and Hsuan-Tien Lin. An Ensemble Ranking Solution to the Yahoo! Learning to Rank Challenge. National Taiwan University, Technical Report, September 2010. [[http:// | + | * Chao-Kai Chiang, |
| - | * Hsiang-Fu Yu, Hung-Yi Lo, Hsun-Ping Hsieh, Jing-Kai Lou, Todd G. McKenzie, Jung-Wei Chou, Po-Han Chung, Chia-Hua Ho, Chun-Fu Chang, Yin-Hsuan Wei, Jui-Yu Weng, En-Syu Yan, Che-Wei Chang, Tsung-Ting Kuo, Yi-Chen Lo, Po Tzu Chang, Chieh Po, Chien-Yuan Wang, Yi-Hung Huang, Chen-Wei Hung, Yu-Xun Ruan, Yu-Shi Lin, Shou-de Lin, Hsuan-Tien Lin and Chih-Jen Lin. Feature Engineering and Classifier Ensemble for KDD Cup 2010. National Taiwan University, June 2010. (First Prizes of Both All Teams and All Student Teams). [[http:// | + | |
| - | * Farbound Tai and Hsuan-Tien Lin. Multi-label Classification | + | |
| - | * Han-Hsing Tu and Hsuan-Tien Lin. One-sided Support Vector Regression for Multiclass Cost-sensitive Classification. In Proceedings of ICML '10, 1095-1102, 2010. [[http:// | + | |
| - | * Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien | + | |
| - | * Hsuan-Tien Lin and Ling Li. Reduction from Ordinal Ranking to Binary Classification. National Taiwan University, September 2009. Some preliminary parts appeared in NIPS '06 and PL Workshop @ ECML/PKDD '09. [[http:// | + | |
| - | * Hsuan-Tien Lin and Ling Li. Combining Ordinal Preferences by Boosting. Preference | + | |
| ====== thesis ====== | ====== thesis ====== | ||
| - | * Te-Kang Jan. A Comparison of Methods for Cost-sensitive Support Vector Machines. Master' | + | |
| - | * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master' | + | * Ku-Chun Chou. Pseudo-reward Algorithms for Linear Contextual Bandit Problems. Master' |
| - | * Hanhsing Tu. Regression Approaches for Multi-class Cost-sensitive Classification. Master' | + | * Yu-Cheng Chou. Machine Learning Approaches for Interactive Verification. Master' |
| + | * Chun-Liang Li. Condensed Filter Tree For Cost Sensitive Multi-Label Classification. Master' | ||
| + | * Wei-Yuan Shen. Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking. Master' | ||
| + | * Po-Lung Chen. Active Learning for Multiclass Cost-sensitive Classification Using Probabilistic Models. Master' | ||
| + | * Yao-Nan Chen. Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem. Master' | ||
| + | * Chun-Sung Ferng. Multi-label Classification with Hard-/ | ||
| + | * Yu-Xun Ruan. Studies on Ordinal Ranking with Regression. Master' | ||
| + | * Chen-Wei Hung. Multi-label Active Learning with Auxiliary Learner. Master' | ||
| + | | ||
| + | * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master' | ||
| + | * Hanhsing Tu. Regression Approaches for Multi-class Cost-sensitive Classification. Master' | ||
public/papers.1295796065.txt.gz · Last modified: 2024/09/04 04:00 (external edit)