Ya-Hsuan Chang. Study on Contextual Bandit Problem with Multiple Actions. Master's Thesis, 2013.
Ku-Chun Chou. Pseudo-reward Algorithms for Linear Contextual Bandit Problems. Master's Thesis, 2013.
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.