Wee Sun Lee

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Wee Sun Lee, a Singaporean computer scientist and professor at the department of computer science of National University of Singapore. His research interests include machine learning theory and applications, and planning under uncertainty. Along with his Ph.D. student Yew Jin Lim, he published on Forward Pruning in Game-Tree Search, in particular on RankCut.

=Selected Publications=

1996 ...

 * Wee Sun Lee (1996). Agnostic Learning and Single Hidden Layer Neural Networks. Ph.D. thesis, Australian National University, ps
 * Robert Schapire, Yoav Freund, Peter Bartlett, Wee Sun Lee (1998). Boosting the margin: A new explanation for the effectiveness of voting methods. Annals of Statistic, pdf
 * Wee Sun Lee (1999). Edge Adaptive Prediction for Lossless Image Coding. Data Compression Conference 1999, pdf

2000 ...

 * Wee Sun Lee (2000). Trees, Windows, and Tiles for Wavelet Image Compression. Data Compression Conference 2000
 * Wee Sun Lee (2001). Collaborative Learning and Recommender Systems. ICML 2001, pdf
 * Wee Sun Lee, Bing Liu (2003). Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. ICML 2003, pdf
 * Yew Jin Lim, Wee Sun Lee (2006). Properties of Forward Pruning in Game-Tree Search, AAAI 2006, pdf
 * Yew Jin Lim, Wee Sun Lee (2006). RankCut - A Domain Independent Forward Pruning Method for Games. AAAI 2006, pdf

2010 ...

 * Haoyu Bai, David Hsu, Wee Sun Lee, Ngo Anh Vien (2010). Monte Carlo Value Iteration for Continuous-State POMDPs. WAFR 2010, pdf
 * Truong-Huy Dinh Nguyen, Wee Sun Lee, Tze-Yun Leong (2012). Bootstrapping Monte Carlo Tree Search with an Imperfect Heuristic. arXiv:1206.5940
 * Truong-Huy Dinh Nguyen, Tomi Silander, Wee Sun Lee, Tze-Yun Leong (2014). Bootstrapping Simulation-Based Algorithms with a Suboptimal Policy. ICAPS 2014, YouTube Video
 * Zhan Wei Lim, David Hsu, Wee Sun Lee (2017). Shortest Path under Uncertainty: Exploration versus Exploitation. UAI 2017, pdf

=External Links=
 * Lee Wee Sun's Homepage
 * Wee Sun Lee - Google Scholar Citations

=References= Up one level