Lee Wee Sun's Publications

Hanna Kurniawati, David Hsu, and Wee Sun Lee.
SARSOP: Efficient point-based POMDP planning by approximating optimally reachable belief spaces.
pdf, software
In Proc. Robotics: Science and Systems, 2008.

David Hsu, Wee Sun Lee, and Nan Rong.
A point-based POMDP planner for target tracking.
pdf
In Proc. IEEE Int. Conf. on Robotics & Automation, pp. 2644–2650, 2008.

David Hsu, Wee Sun Lee and Nan Rong.
What Makes Some POMDP Problems Easy to Approximate?
Paper (long version with appendix) pdf
NIPS 2007

Hai Leong Chieu, Wee Sun Lee and Yee Whye Teh.
Cooled and Relaxed Survey Propagation for MRFs
Paper pdf, Appendix pdf
NIPS 2007

Junfu Cai, Wee Sun Lee and Yee Whye Teh.
Improving Word Sense Disambiguation Using Topic Features.
EMNLP 2007 version pdf , Semeval 2007 version pdf
EMNLP 2007, SemEval 2007

David Hsu, Wee Sun Lee and Nan Rong.
Accelerating point-based POMDP algorithms through successive approximations of the optimal reachable space
pdf
NUS School of Computing Technical Report TRA4/07

Xinhua Zhang and Wee Sun Lee.
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms
pdf
NIPS 2006

Dell Zhang and Wee Sun Lee.
Extracting Key-Substring-Group Features for Text Classification
pdf Code
KDD 2006

Dell Zhang and Wee Sun Lee.
Learning to Separate Text Content and Style for Classification
pdf
AIRS 2006

Yew Jin Lim and Wee Sun Lee.
Properties of Forward Pruning in Game-Tree Search
pdf
AAAI 2006

Yew Jin Lim and Wee Sun Lee.
RankCut -- A Domain Independent Forward Pruning Method for Games
pdf
AAAI 2006

Wee Sun Lee, Xinhua Zhang and Yee Whye Teh.
Semi-supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances
pdf
NUS School of Computing Technical Report TRB3/06

Hai Leong Chieu, Wee Sun Lee and Leslie Kaelbling.
Activity Recognition from Physiological Data Using Conditional Random Fields
pdf
SMA Symposium 2006

Thanh Phong Pham, Hwee Tou Ng and Wee Sun Lee.
Word Sense Disambiguation with Semi-Supervised Learning
pdf
AAAI 2005

Upali S. Kohomban and Wee Sun Lee.
Learning Semantic Classes for Word Sense Disambiguation
pdf
ACL 2005

Dell Zhang, Xi Chen and Wee Sun Lee.
Text Classification with Kernels on the Multinomial Manifold
pdf Code
SIGIR 2005

Xinyi Yin and Wee Sun Lee.
Understanding the Function of Web Elements Using Random Walk Models
pdf
WWW 2005

Xinyi Yin and Wee Sun Lee.
Optimization of Web Page for Mobile Devices
pdf
WWW 2004

Dell Zhang and Wee Sun Lee.
Learning to Integrate Web Taxonomies
pdf
Journal of Web Semantics, 2(2), 2004.

Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, and Philip S. Yu.
Building Text Classifiers Using Positive and Unlabeled Examples
pdf
International Conference on Data Mining 2003

Wee Sun Lee and Bing Liu.
Learning from Positive and Unlabeled Examples Using Weighted Logistic Regression
postscript pdf talk (ppt)
International Conference on Machine Learning 2003

Dell Zhang and Wee Sun Lee.
Question Classification using Support Vector Machines
postscript pdf
SIGIR 2003

Bing Liu, Wee Sun Lee, Philip S. Yu and Xiaoli Li.
Partially Supervised Classification of Text Documents
postscript version with proofs program
International Conference on Machine Learning 2002

Sanjoy Dasgupta, Wee Sun Lee and Phil Long.
A Theoretical Analysis of Query Selection for Collaborative Filtering
pdf postscript
Machine Learning 51(3):283-298 Jun 2003

Wee Sun Lee.
Collaborative Learning for Recommender Systems
pdf postscript
International Conference on Machine Learning 2001

Wee Sun Lee.
Tiling and Adaptive Image Compression
pdf postscript
IEEE Transactions on Information Theory, 46(5):1789-1799, 2000

Wee Sun Lee.
Trees, Windows and Tiles for Wavelet Image Compression
Data Compression Conference 2000 pdf postscript
(Supersedes Windowing versus Best Tiling for Wavelet Image Compression)

Wee Sun Lee.
Edge Adaptive Prediction for Lossless Image Coding
Data Compression Conference 1999
postscript pdf

Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold,
Spatial Temporal Concealment of Lost Blocks in Coded Video
International Conference on Image Processing 1998
(Long version, postscript)

Mostefa Golea, Peter L. Bartlett, Wee Sun Lee and Llew Mason
Generalization in decision trees and DNF: Does size matter?
Neural Information Processing Systems 1997
postscript

Robert E. Schapire, Yoav Freund, Peter L. Bartlett and Wee Sun Lee.
Boosting the margin: A new explanation for the effectiveness of voting methods.
The Annals of Statistics, 26(5):1651-1686, 1998. postscript

Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold.
Robustness of Multiplexing Protocols for Audio-Visual Services over Wireless Networks.
International Conference on Image Processing, 1997
postscript.

Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold.
Error Resillience in Video and Multiplexing Layers for Very Low Bit-rate Video Coding Systems.
IEEE Journal on Selected Areas in Comunications, Vol 15, No 9, 1997, p. 1764-1774
postscript.

Wee Sun Lee, Mark R. Pickering, Michael R. Frater, John F. Arnold.
A robust codec for transmission of very low bit-rate video over channels with bursty errors
IEEE Trans. on Circuits and Systems for Video Technology, Vol 10, No 8, Dec 2000, p. 1403-1412 postscript

Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson.
The Importance of Convexity in Learning with Squared Loss.
IEEE Transactions on Information Theory, Vol 44, No 5, 1998, p. 1974-1980.
postscript. (Correction postscript)

Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson.
Efficient Agnostic Learning of Neural Networks with Bounded Fan-in.
IEEE Transactions on Information Theory , Vol 42 , No 6, Nov 1996, p. 2118-2132.
postscript

Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson.
Lower Bounds on the VC Dimension of Smoothly Parametrized Function Classes.
Neural Computation, Vol 7, No 5, Sept 1995, p. 1040-1053.
postscript
See also
Correction to "Lower Bounds on VC Dimension of Smoothly Parametrized Function Classes".
Neural Computation, Vol 9, Number 4, May 1997, p765-770
postscript

Wee Sun Lee
Agnostic Learning and Single Hidden Layer Neural Networks
PhD Thesis, Australian National University 1996.
postscript.