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Note: Links lead to the DBLP on the Web. Charles X. Ling 26 Charles X. Ling, Tielin Chen , Qiang Yang , Jie Cheng : Mining Optimal Actions for Profitable CRM. ICDM 2002 : 767-770 25 Huajie Zhang , Charles X. Ling: Representational Upper Bounds of Bayesian Networks. ICML 2002 : 674-681 24 Charles X. Ling, Huajie Zhang : Toward Bayesian Classifiers with Accurate Probabilities. PAKDD 2002 : 123-134 23 Charles X. Ling, Nick Cercone : Editorial Notes. International Journal of Foundations of Computer Science 13 (4): 473-475 (2002) 22 Huajie Zhang , Charles X. Ling: Geometric Properties of Naive Bayes in Nominal Domains. ECML 2001 : 588-599 21 Charles X. Ling, Jianfeng Gao , Huajie Zhang , Weining Qian , HongJiang Zhang : Mining Generalized Query Patterns from Web Logs. HICSS 2001 20 Huajie Zhang , Charles X. Ling: Learnability of Augmented Naive Bayes in Nonimal Domains. ICML 2001 : 617-623 19 Huajie Zhang , Charles X. Ling: An Improved Learning Algorithm for Augmented Naive Bayes. PAKDD 2001 : 581-586 18 Huajie Zhang , Charles X. Ling, Zhiduo Zhao : The Learnability of Naive Bayes. Canadian Conference on AI 2000 : 432-441 17 Charles X. Ling, Bei Zhang : Grapheme Generation in Learning to Read English Words. Canadian Conference on AI 1998 : 184-195 16 Charles X. Ling, Chenghui Li : Data Mining for Direct Marketing: Problems and Solutions. KDD 1998 : 73-79 15 Ron Sun , Charles X. Ling: Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Magazine 19 (2): 113-120 (1998) 14 Charles X. Ling, Handong Wang : Alignment Algorithms for Learning to Read Aloud. IJCAI (2) 1997 : 874-879 13 Charles X. Ling, Hangdong Wang : Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms. Artificial Intelligence Review 11 (1-5): 255-272 (1997) 12 Charles X. Ling, John J. Parry , Hangdong Wang : Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5. IJPRAI 11 (3): 405-415 (1997) 11 Charles X. Ling, Handong Wang : Learning Classifications from Multiple Sources of Unsupervised Data. Canadian Conference on AI 1996 : 284-295 10 William C. Schmidt , Charles X. Ling: A Decision-Tree Model of Balance Scale Development. Machine Learning 24 (3): 203-230 (1996) 9 Charles X. Ling: Overfitting and generalization in learning discrete patterns. Neurocomputing 8 (3): 341-347 (1995) 8 David W. Aha , Stephane Lapointe , Charles X. Ling, Stan Matwin : Inverting Implication with Small Training Sets. ECML 1994 : 31-48 7 David W. Aha , Stephane Lapointe , Charles X. Ling, Stan Matwin : Learning Recursive Relations with Randomly Selected Small Training Sets. ICML 1994 : 12-18 6 Charles X. Ling, Marin Marinov : A Symbolic Model of the Nonconscious Acquisition of Information. Cognitive Science 18 (4): 595-621 (1994) 5 Charles X. Ling: Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models. JAIR 1 : 209-229 (1994) 4 Charles X. Ling, Ralph Buchal : Learning to Control Dynamic Systems with Automatic Quantization. ECML 1993 : 372-377 3 Stephane Lapointe , Charles X. Ling, Stan Matwin : Constructive Inductive Logic Programming. IJCAI 1993 : 1030-1036 2 Charles X. Ling, Steven Cherwenka , Marin Marinov : A Symbolic Model for Learning the Past-Tenses of English Verbs. IJCAI 1993 : 1143-1149 1 Charles X. Ling: Inductive Learning from Good Examples. IJCAI 1991 : 751-756  DiSC'03 © 2003 Association for Computing Machinery |
