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Wee Sun Lee ^[1]

Wee Sun Lee,^[2]
a Singaporean computer scientist and professor at the department of computer science of National University of Singapore. He holds a Ph.D. in computer science from Australian National University in 1996 with the thesis title Agnostic Learning and Single Hidden Layer Neural Networks under supervision of Peter Bartlett and Robert C. Williamson. 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

1995 ...

Wee Sun Lee, Peter Bartlett, Robert C. Williamson (1995). On Efficient Agnostic Learning of Linear Combinations of Basis Functions. COLT 1995, pdf
Wee Sun Lee, Peter Bartlett, Robert C. Williamson (1996). The Importance of Convexity in Learning with Squared Loss. COLT 1996, pdf
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

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