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Note: Links lead to the DBLP on the Web. Wai Lam 30 Yiqiu Han , Wai Lam: Exploiting Hierarchical Domain Values for Bayesian Learning. PAKDD 2003 : 253-264 29 Tak-Lam Wong , Wai Lam: Adapting Information Extraction Knowledge For Unseen Web Sites. ICDM 2002 : 506-513 28 Gabriel Pui Cheong Fung , Jeffrey Xu Yu , Wai Lam: News Sensitive Stock Trend Prediction. PAKDD 2002 : 481-493 27 Ki Chan , Boon Toh Low , Wai Lam, Kai-Pui Lam : Extracting Causation Knowledge from Natural Language Texts. PAKDD 2002 : 555-560 26 Wai Lam, Chi-Kin Keung , Danyu Liu : Discovering Useful Concept Prototypes for Classification Based on Filtering and Abstraction. IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (8): 1075-1090 (2002) 25 Wai Lam, Alberto Maria Segre : A Distributed Learning Algorithm for Bayesian Inference Networks. TKDE 14 (1): 93-105 (2002) 24 Kei Shiu Ho , Hong Va Leong , Wai Lam: A Collaborative Word Processing Systems using a CORBA-Based Workflow Framework. DOA 2001 : 176- 23 Kin Hui , Wai Lam, Helen M. Meng : Automatic event generation from multi-lingual news stories. JCDL 2001 : 23-24 22 Kwok-Yin Lai , Wai Lam: Meta-learning Models for Automatic Textual Document Categorization. PAKDD 2001 : 78-89 21 Wai Lam, Kwok-Yin Lai : A Meta-Learning Approach for Text Categorization. SIGIR 2001 : 303-309 20 Wai Lam, Javed Mostafa : Modeling user interest shift using a bayesian approach. JASIST 52 (5): 416-429 (2001) 19 Wai Lam, Kam-Fai Wong , Chi-Yin Wong : Chinese document indexing based on a new partitioned signature file: Model and evaluation. JASIST 52 (7): 584-597 (2001) 18 Wai Lam, Wai-Yip Lin : Learning to Extract Hierarchical Information from Semi-structured Documents. CIKM 2000 : 250-257 17 Chi-Kin Keung , Wai Lam: Prototype Generation Based on Instance Filtering and Averaging. PAKDD 2000 : 142-152 16 Javed Mostafa , Wai Lam: Automatic classification using supervised learning in a medical document filtering application. Information Processing and Management 36 (3): 415-444 (2000) 15 Wai Lam, Kwok Leung Yu : An Intelligent Adaptive Filtering Agent Based on an On-Line Learning Model (poster abstract). SIGIR 1999 : 287-288 14 Po Shun Ngan , Man Leung Wong , Wai Lam, Kwong-Sak Leung , Jack C. Y. Cheng : Medical data mining using evolutionary computation. Artificial Intelligence in Medicine 16 (1): 73-96 (1999) 13 Man Leung Wong , Wai Lam, Kwong-Sak Leung : Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (2): 174-178 (1999) 12 Wai Lam, Miguel E. Ruiz , Padmini Srinivasan : Automatic Text Categorization and Its Application to Text Retrieval. TKDE 11 (6): 865-879 (1999) 11 Kwok Leung Yu , Wai Lam: A New On-Line Learning Algorithm for Adaptive Text Filtering. CIKM 1998 : 156-160 10 Wai Lam, Kon Fan Low : Constructing Text Filters Based on Bayesian Network Learning. ECAI 1998 : 585-589 9 Wai Lam, Chao Yang Ho : Using a Generalized Instance Set for Automatic Text Categorization. SIGIR 1998 : 81-89 8 Wai Lam: Bayesian Network Refinement Via Machine Learning Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (3): 240-251 (1998) 7 Wai Lam, Alberto Maria Segre : Distributed Data Mining of Probabilistic Knowledge. ICDCS 1997 : 0- 6 Wai Lam, Kon Fan Low , Chao Yang Ho : Using a Bayesian Network Induction Approach for Text Categorization. IJCAI (1) 1997 : 745-750 5 Wai Lam, Snehasis Mukhopadhyay : A Two-Level Approach to Learning in Nonstationary Environments. Canadian Conference on AI 1996 : 271-283 4 Wai Lam: Abstraction in Bayesian Belief Networks and Automatic Discovery from Past Inference Sessions. AAAI 1994 : 257-262 3 Wai Lam, Fahiem Bacchus : Using New Data to Refine a Bayesian Network. UAI 1994 : 383-390 2 Wai Lam, Fahiem Bacchus : Learning Bayesian Belief Networks: An Approach Based on the MDL Principle. Computational Intelligence 10 : 269-294 (1994) 1 Wai Lam, Fahiem Bacchus : Using Causal Information and Local Measures to Learn Bayesian Networks. UAI 1993 : 243-250  DiSC'03 © 2003 Association for Computing Machinery |
