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--- public:papers [2013/07/11 03:20] – [paper] htlin
+++ public:papers [2024/09/04 04:00] (current) – external edit 127.0.0.1
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   * Chao-Kai Chiang, Chi-Jen Lu: Online Learning with Queries. SODA 2010.
 ====== 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.