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public:papers [2011/01/23 15:21]
htlin 建立
public:papers [2019/06/25 13:25] (current)
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-====== ​paper ====== +====== ​papers ​====== 
-  * Hsuan-Tien Lin. A Simple Cost-sensitive Multiclass Classification Algorithm Using One-versus-one Comparisons,​ National Taiwan University, December 2010. [[http://​​~htlin/​paper/​doc/​csovo.pdf|link]] +  * [[http://​​~htlin/​paper/​|Papers that Professor ​Hsuan-Tien Lin has co-authored]] 
-  * Hsuan-Tien Lin. Cost-sensitive Classification:​ Status and Beyond. Workshop on Machine Learning Research in Taiwan: Challenges and Directions @ TAAI, 2010. [[http://​​~htlin/​paper/​doc/​wsmlrt10cost.pdf|link]] +  * Chao-Kai Chiang, Chia-Jung Lee and Chi-Jen LuBeating Bandits in Gradually Evolving WorldsCOLT 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://​​~htlin/​paper/​doc/​ml10plst.pdf|link]] +  * Chao-Kai ChiangTianbao Yang, Chia-Jung LeeMehrdad MahdaviChi-Jen LuRong JinShenghuo ZhuOnline Optimization ​with Gradual VariationsCOLT 2012
-  * Ming-Feng Tsai, Shang-Tse Chen, Yao-Nan Chen, Chun-Sung Ferng, Chia-Hsuan Wang, Tzay-Yeu Wen and Hsuan-Tien LinAn Ensemble Ranking Solution to the Yahoo! Learning to Rank ChallengeNational Taiwan University, Technical Report, September 2010[[http://​​~htlin/​paper/​doc/​wsltr10ensemble.pdf|link]] +  * Chao-Kai Chiang, ​Chi-Jen LuOnline ​Learning ​with QueriesSODA 2010.
-  * Hsiang-Fu Yu, Hung-Yi Lo, Hsun-Ping Hsieh, Jing-Kai LouTodd G. McKenzie, Jung-Wei Chou, Po-Han Chung, Chia-Hua HoChun-Fu ChangYin-Hsuan WeiJui-Yu WengEn-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://​​~htlin/​paper/​doc/​wskdd10cup.pdf|link]] +
-  * Farbound Tai and Hsuan-Tien Lin. Multi-label Classification ​with Principle Label Space TransformationSecond International Workshop on learning from Multi-Label Data @ ICML '10, 2010[[http://​​~htlin/​paper/​doc/​wsmld10plst.pdf|link]] +
-  * 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://​​~htlin/​paper/​doc/​icml10osr.pdf|link]] +
-  * 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 and Shou-de Lin. An Ensemble of Three Classifiers for KDD Cup 2009Expanded Linear Model, Heterogeneous Boosting, and Selective Naïve Bayes. In G. Dror et al., eds., Proceedings of KDD-Cup 2009 competition,​ vol. 7 of JMLR Workshop and Conference Proceedings,​ 57-64, 2009. (Third Place of the Slow Track). [[http://​​~htlin/​paper/​doc/​wskdd09cup.pdf|link]] +
-  * 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://​​~htlin/​paper/​doc/​redordinal.pdf|link]] +
-  * Hsuan-Tien Lin and Ling Li. Combining Ordinal Preferences by Boosting. Preference ​Learning ​Workshop @ ECML/PKDD '09, 2009[[http://​​~htlin/​paper/​doc/​wspl09adaboostor.pdf|link]] +
 ====== thesis ====== ====== thesis ======
-  * Te-Kang Jan. A Comparison of Methods for Cost-sensitive Support Vector Machines. Master'​s Thesis, ​2009+  ​* Ya-Hsuan Chang. Study on Contextual Bandit Problem with Multiple Actions. Master'​s Thesis, 2013. 
-  * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master'​s Thesis, ​2009+  * Ku-Chun Chou. Pseudo-reward Algorithms for Linear Contextual Bandit Problems. Master'​s Thesis, 2013. 
-  * Hanhsing Tu. Regression Approaches for Multi-class Cost-sensitive Classification. Master'​s Thesis, ​2008.+  * Yu-Cheng Chou. Machine Learning Approaches for Interactive Verification. Master'​s Thesis, 2013. 
 +  * Chun-Liang Li. Condensed Filter Tree For Cost Sensitive Multi-Label Classification. Master'​s Thesis, 2013. 
 +  * Wei-Yuan Shen. Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking. Master'​s Thesis, 2013. 
 +  * Po-Lung Chen. Active Learning for Multiclass Cost-sensitive Classification Using Probabilistic Models. Master'​s Thesis, 2012. 
 +  * Yao-Nan Chen. Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem. Master'​s Thesis, 2012. 
 +  * Chun-Sung Ferng. Multi-label Classification with Hard-/​soft-decoded Error-correcting Codes. Master'​s Thesis, 2012. 
 +  * Yu-Xun Ruan. Studies on Ordinal Ranking with Regression. Master'​s Thesis, 2011. 
 +  * Chen-Wei Hung. Multi-label Active Learning with Auxiliary Learner. Master'​s Thesis, 2011. 
 +  ​* Te-Kang Jan. A Comparison of Methods for Cost-sensitive Support Vector Machines. Master'​s Thesis, ​2010
 +  * Ken-Yi Lin. Data Selection Techniques for Large-scale RankSVM. Master'​s Thesis, ​2010
 +  * Hanhsing Tu. Regression Approaches for Multi-class Cost-sensitive Classification. Master'​s Thesis, ​2009.
public/papers.1295796065.txt.gz · Last modified: 2019/06/25 13:26 (external edit)