Travelled to:
1 × Australia
1 × Brazil
1 × Canada
1 × China
1 × Singapore
2 × United Kingdom
4 × USA
Collaborated with:
D.Zhang B.Liu D.Hsu ∅ Z.Zhang X.Chen N.Ye K.M.A.Chai H.L.Chieu Y.Wang K.S.Won P.S.Yu X.Li R.E.Schapire Y.Freund P.Barlett N.V.Cuong M.K.Chandrasekaran M.Kan Truong-Huy Dinh Nguyen T.Leong L.P.Kaelbling T.Lozano-Pérez Andrew Haydn Grant
Talks about:
classif (4) learn (4) text (3) use (3) document (2) collabor (2) support (2) extract (2) vector (2) machin (2)
Person: Wee Sun Lee
DBLP: Lee:Wee_Sun
Contributed to:
Wrote 14 papers:
- ICML-c1-2014-ZhangHL #heuristic #performance
- Covering Number for Efficient Heuristic-based POMDP Planning (ZZ, DH, WSL), pp. 28–36.
- ICML-2012-NanCLC #optimisation
- Optimizing F-measure: A Tale of Two Approaches (NY, KMAC, WSL, HLC), p. 202.
- ICML-2012-WangWHL #learning #monte carlo
- Monte Carlo Bayesian Reinforcement Learning (YW, KSW, DH, WSL), p. 105.
- SIGIR-2008-ZhangL #learning #multi
- Learning with support vector machines for query-by-multiple-examples (DZ, WSL), pp. 835–836.
- KDD-2006-ZhangL #classification #string
- Extracting key-substring-group features for text classification (DZ, WSL), pp. 474–483.
- SIGIR-2005-ZhangCL #classification #kernel #multi
- Text classification with kernels on the multinomial manifold (DZ, XC, WSL), pp. 266–273.
- SIGIR-2004-ZhangL #integration #taxonomy #web
- Web taxonomy integration through co-bootstrapping (DZ, WSL), pp. 410–417.
- ICML-2003-LeeL #learning #using
- Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression (WSL, BL), pp. 448–455.
- SIGIR-2003-ZhangL #classification #using
- Question classification using support vector machines (DZ, WSL), pp. 26–32.
- ICML-2002-LiuLYL #classification #documentation
- Partially Supervised Classification of Text Documents (BL, WSL, PSY, XL), pp. 387–394.
- ICML-2001-Lee #collaboration #learning #recommendation
- Collaborative Learning and Recommender Systems (WSL), pp. 314–321.
- ICML-1997-SchapireFBL #effectiveness
- Boosting the margin: A new explanation for the effectiveness of voting methods (RES, YF, PB, WSL), pp. 322–330.
- JCDL-2015-CuongCKL #documentation #higher-order #information management #performance #using
- Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs (NVC, MKC, MYK, WSL), pp. 61–64.
- AIIDE-2011-NguyenHLLKLG #collaboration #named #recognition
- CAPIR: Collaborative Action Planning with Intention Recognition (THDN, DH, WSL, TYL, LPK, TLP, AHG).