Wai Lam
TítolCitada perAny
Learning Bayesian belief networks: An approach based on the MDL principle
W Lam, F Bacchus
Computational intelligence 10 (3), 269-293, 1994
10301994
СЛОВО
A Radev
Електронно списание» Диалог «, 1-4, 2006
3272006
Using a generalized instance set for automatic text categorization
W Lam, CY Ho
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
2751998
A multilevel approach to intelligent information filtering: model, system, and evaluation
J Mostafa, S Mukhopadhyay, M Palakal, W Lam
ACM Transactions on Information Systems (TOIS) 15 (4), 368-399, 1997
2561997
Fuzzy concepts in expert systems
KS Leung, W Lam
Computer 21 (9), 43-56, 1988
2141988
Automatic text categorization and its application to text retrieval
W Lam, M Ruiz, P Srinivasan
IEEE Transactions on Knowledge and Data engineering 11 (6), 865-879, 1999
1911999
Evaluation challenges in large-scale document summarization
DR Radev, S Teufel, H Saggion, W Lam, J Blitzer, H Qi, A Celebi, D Liu, ...
Proceedings of the 41st Annual Meeting on Association for Computational …, 2003
1542003
News sensitive stock trend prediction
GPC Fung, JX Yu, W Lam
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 481-493, 2002
1462002
Using evolutionary programming and minimum description length principle for data mining of Bayesian networks
ML Wong, W Lam, KS Leung
IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (2), 174-178, 1999
1431999
Stock prediction: Integrating text mining approach using real-time news
GPC Fung, JX Yu, W Lam
2003 IEEE International Conference on Computational Intelligence for …, 2003
1362003
Second births in western Germany and France
K Köppen
Demographic research 14, 295-330, 2006
1252006
Detection of shifts in user interests for personalized information filtering
W Lam, S Mukhopadhyay, J Mostafa, M Palakal
Proceedings of the 19th annual international ACM SIGIR conference on …, 1996
1131996
Abstractive multi-document summarization via phrase selection and merging
L Bing, P Li, Y Liao, W Lam, W Guo, RJ Passonneau
The Annual Meeting of the Association for Computational Linguistics (ACL …, 2015
1082015
Discovering useful concept prototypes for classification based on filtering and abstraction
W Lam, CK Keung, D Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (8), 1075-1090, 2002
992002
Using causal information and local measures to learn Bayesian networks
W Lam, F Bacchus
Uncertainty in Artificial Intelligence, 243-250, 1993
971993
Using new data to refine a Bayesian network
W Lam, F Bacchus
Uncertainty Proceedings 1994, 383-390, 1994
841994
Extracting discriminative concepts for domain adaptation in text mining
B Chen, W Lam, I Tsang, TL Wong
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
812009
Deep recurrent generative decoder for abstractive text summarization
P Li, W Lam, L Bing, Z Wang
arXiv preprint arXiv:1708.00625, 2017
802017
Discovering knowledge from medical databases using evolutionory algorithms
ML Wong, W Lam, KS Leung, PS Ngan, JCY Cheng
IEEE Engineering in Medicine and Biology Magazine 19 (4), 45-55, 2000
802000
Medical data mining using evolutionary computation
PS Ngan, ML Wong, W Lam, KS Leung, JCY Cheng
Artificial Intelligence in Medicine 16 (1), 73-96, 1999
761999
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