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Charles X. Ling: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang
    Cost-Sensitive Test Strategies. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  2. Victor S. Sheng, Charles X. Ling
    Thresholding for Making Classifiers Cost-sensitive. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Charles X. Ling, Handong Wang
    Learning Classifications from Multiple Sources of Unsupervised Data. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 1996, pp:284-295 [Conf]
  4. Charles X. Ling, Bei Zhang
    Grapheme Generation in Learning to Read English Words. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 1998, pp:184-195 [Conf]
  5. Charles X. Ling, Jin Huang, Harry Zhang
    AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:329-341 [Conf]
  6. Harry Zhang, Charles X. Ling
    A Fundamental Issue of Naive Bayes. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2003, pp:591-595 [Conf]
  7. Huajie Zhang, Charles X. Ling, Zhiduo Zhao
    The Learnability of Naive Bayes. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2000, pp:432-441 [Conf]
  8. Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li
    A Multi-objective Genetic Algorithm Based on Quick Sort. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:175-186 [Conf]
  9. Jianning Wang, Charles X. Ling
    Artificial Aging of Faces by Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2004, pp:499-503 [Conf]
  10. Wenyin Gong, Zhihua Cai, Charles X. Ling
    ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:709-718 [Conf]
  11. David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
    Inverting Implication with Small Training Sets. [Citation Graph (0, 0)][DBLP]
    ECML, 1994, pp:31-48 [Conf]
  12. Charles X. Ling, Ralph Buchal
    Learning to Control Dynamic Systems with Automatic Quantization. [Citation Graph (0, 0)][DBLP]
    ECML, 1993, pp:372-377 [Conf]
  13. Shengli Sheng, Charles X. Ling, Qiang Yang
    Simple Test Strategies for Cost-Sensitive Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:365-376 [Conf]
  14. Huajie Zhang, Charles X. Ling
    Geometric Properties of Naive Bayes in Nominal Domains. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:588-599 [Conf]
  15. Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang
    Mining Generalized Query Patterns from Web Logs. [Citation Graph (0, 0)][DBLP]
    HICSS, 2001, pp:- [Conf]
  16. Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling
    Test-Cost Sensitive Naive Bayes Classification. [Citation Graph (0, 0)][DBLP]
    ICDM, 2004, pp:51-58 [Conf]
  17. Jin Huang, Charles X. Ling
    Partial Ensemble Classifiers Selection for Better Ranking. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:653-656 [Conf]
  18. Jin Huang, Jingjing Lu, Charles X. Ling
    Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:553-556 [Conf]
  19. Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng
    Mining Optimal Actions for Profitable CRM. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:767-770 [Conf]
  20. Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
    Predicting Software Escalations with Maximum ROI. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:717-720 [Conf]
  21. Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
    Postprocessing Decision Trees to Extract Actionable Knowledge. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:685-688 [Conf]
  22. Jin Huang, Charles X. Ling
    Constructing Ensembles for Better Ranking. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:902-906 [Conf]
  23. Chong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang
    Keyphrase Extraction Using Semantic Networks Structure Analysis. [Citation Graph (0, 0)][DBLP]
    ICDM, 2006, pp:275-284 [Conf]
  24. David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
    Learning Recursive Relations with Randomly Selected Small Training Sets. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:12-18 [Conf]
  25. Charles X. Ling, Robert J. Yan
    Decision Tree with Better Ranking. [Citation Graph (0, 0)][DBLP]
    ICML, 2003, pp:480-487 [Conf]
  26. Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
    Decision trees with minimal costs. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  27. Victor S. Sheng, Charles X. Ling
    Feature value acquisition in testing: a sequential batch test algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:809-816 [Conf]
  28. Huajie Zhang, Charles X. Ling
    Learnability of Augmented Naive Bayes in Nonimal Domains. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:617-623 [Conf]
  29. Huajie Zhang, Charles X. Ling
    Representational Upper Bounds of Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:674-681 [Conf]
  30. Jinhua Zheng, Zhongzhi Shi, Charles X. Ling, Yong Xie
    A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms. [Citation Graph (0, 0)][DBLP]
    Intelligent Information Processing, 2004, pp:456-470 [Conf]
  31. Stephane Lapointe, Charles X. Ling, Stan Matwin
    Constructive Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1030-1036 [Conf]
  32. Charles X. Ling
    Inductive Learning from Good Examples. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1991, pp:751-756 [Conf]
  33. Charles X. Ling, Steven Cherwenka, Marin Marinov
    A Symbolic Model for Learning the Past-Tenses of English Verbs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1993, pp:1143-1149 [Conf]
  34. Charles X. Ling, Jin Huang, Harry Zhang
    AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:519-526 [Conf]
  35. Charles X. Ling, Handong Wang
    Alignment Algorithms for Learning to Read Aloud. [Citation Graph (0, 0)][DBLP]
    IJCAI (2), 1997, pp:874-879 [Conf]
  36. Jin Huang, Charles X. Ling
    Constructing New and Better Evaluation Measures for Machine Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:859-864 [Conf]
  37. Yiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling
    Intelligent Protein 3D Structure Retrieval System. [Citation Graph (0, 0)][DBLP]
    ISMIS, 2003, pp:108-115 [Conf]
  38. Charles X. Ling, Chenghui Li
    Data Mining for Direct Marketing: Problems and Solutions. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:73-79 [Conf]
  39. Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
    Maximum profit mining and its application in software development. [Citation Graph (0, 0)][DBLP]
    KDD, 2006, pp:929-934 [Conf]
  40. Charles X. Ling, Huajie Zhang
    Toward Bayesian Classifiers with Accurate Probabilities. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2002, pp:123-134 [Conf]
  41. Huajie Zhang, Charles X. Ling
    An Improved Learning Algorithm for Augmented Naive Bayes. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:581-586 [Conf]
  42. Jin Huang, Charles X. Ling
    Rank Measures for Ordering. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:503-510 [Conf]
  43. Jin Huang, Charles X. Ling
    Dynamic Ensemble Re-Construction for Better Ranking. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:511-518 [Conf]
  44. Shengli Sheng, Charles X. Ling
    Hybrid Cost-Sensitive Decision Tree. [Citation Graph (0, 0)][DBLP]
    PKDD, 2005, pp:274-284 [Conf]
  45. Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao
    A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2004, pp:544-553 [Conf]
  46. Harry Zhang, Charles X. Ling
    Numeric Mapping and Learnability of Naive Bayes. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2003, v:17, n:5-6, pp:507-518 [Journal]
  47. Ron Sun, Charles X. Ling
    Computational Cognitive Modeling, the Source of Power, and Other Related Issues. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1998, v:19, n:2, pp:113-120 [Journal]
  48. Charles X. Ling, Hangdong Wang
    Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms. [Citation Graph (0, 0)][DBLP]
    Artif. Intell. Rev., 1997, v:11, n:1-5, pp:255-272 [Journal]
  49. Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao
    Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:12, pp:1948-1954 [Journal]
  50. Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao
    pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2005, v:21, n:13, pp:3049-3050 [Journal]
  51. Dequan Li, Wen Gao, Charles X. Ling, Xiaobiao Wang, Ruixiang Sun, Simin He
    IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:20, pp:2572-2573 [Journal]
  52. Charles X. Ling, Marin Marinov
    A Symbolic Model of the Nonconscious Acquisition of Information. [Citation Graph (0, 0)][DBLP]
    Cognitive Science, 1994, v:18, n:4, pp:595-621 [Journal]
  53. Charles X. Ling
    Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models [Citation Graph (0, 0)][DBLP]
    CoRR, 1994, v:0, n:, pp:- [Journal]
  54. Charles X. Ling, Qiang Yang
    Discovering Classification from Data of Multiple Sources. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2006, v:12, n:2-3, pp:181-201 [Journal]
  55. Charles X. Ling, Nick Cercone
    Editorial Notes. [Citation Graph (0, 0)][DBLP]
    Int. J. Found. Comput. Sci., 2002, v:13, n:4, pp:473-475 [Journal]
  56. Charles X. Ling
    Overfitting and generalization in learning discrete patterns. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1995, v:8, n:3, pp:341-347 [Journal]
  57. Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang
    Improving Encarta Search Engine Performance by Mining User Logs. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2002, v:16, n:8, pp:1101-1116 [Journal]
  58. Charles X. Ling, John J. Parry, Hangdong Wang
    Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1997, v:11, n:3, pp:405-415 [Journal]
  59. Charles X. Ling
    Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1994, v:1, n:, pp:209-229 [Journal]
  60. Yiqiang Chen, Wen Gao, Tingshao Zhu, Charles X. Ling
    Learning Prosodic Patterns for Mandarin Speech Synthesis. [Citation Graph (0, 0)][DBLP]
    J. Intell. Inf. Syst., 2002, v:19, n:1, pp:95-109 [Journal]
  61. Charles X. Ling, Huajie Zhang
    The Representational Power of Discrete Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2002, v:3, n:, pp:709-721 [Journal]
  62. William C. Schmidt, Charles X. Ling
    A Decision-Tree Model of Balance Scale Development. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:24, n:3, pp:203-230 [Journal]
  63. Wai Lam, Chi-Kin Keung, Charles X. Ling
    Learning good prototypes for classification using filtering and abstraction of instances. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2002, v:35, n:7, pp:1491-1506 [Journal]
  64. Charles X. Ling, William Stafford Noble, Qiang Yang
    Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:2, pp:81-82 [Journal]
  65. Charles X. Ling, William Stafford Noble, Qiang Yang
    Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. [Citation Graph (0, 0)][DBLP]
    IEEE/ACM Trans. Comput. Biology Bioinform., 2005, v:2, n:3, pp:177-178 [Journal]
  66. Jin Huang, Charles X. Ling
    Using AUC and Accuracy in Evaluating Learning Algorithms. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:3, pp:299-310 [Journal]
  67. Jin Huang, Charles X. Ling
    Using AUC and Accuracy in Evaluating Learning Algorithms - Appendices. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:3, pp:- [Journal]
  68. Charles X. Ling, Victor S. Sheng, Qiang Yang
    Test Strategies for Cost-Sensitive Decision Trees. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:8, pp:1055-1067 [Journal]
  69. YongHong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao
    Learning Contextual Dependency Network Models for Link-Based Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:11, pp:1482-1496 [Journal]
  70. Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan
    Test-Cost Sensitive Classification on Data with Missing Values. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2006, v:18, n:5, pp:626-638 [Journal]
  71. Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng
    "Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2005, v:17, n:12, pp:1689-1693 [Journal]
  72. Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan
    Extracting Actionable Knowledge from Decision Trees. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2007, v:19, n:1, pp:43-56 [Journal]
  73. Jun Du, Zhihua Cai, Charles X. Ling
    Cost-Sensitive Decision Trees with Pre-pruning. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2007, pp:171-179 [Conf]
  74. Victor S. Sheng, Charles X. Ling
    Roulette Sampling for Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:724-731 [Conf]
  75. Victor S. Sheng, Charles X. Ling
    Partial example acquisition in cost-sensitive learning. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:638-646 [Conf]
  76. Robert J. Yan, Charles X. Ling
    Machine learning for stock selection. [Citation Graph (0, 0)][DBLP]
    KDD, 2007, pp:1038-1042 [Conf]
  77. Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling
    A Multi-Objective Genetic Algorithm Based on Density. [Citation Graph (0, 0)][DBLP]
    ISICA, 2007, pp:12-25 [Conf]
  78. Yiqiu Han, Wai Lam, Charles X. Ling
    Customized classification learning based on query projections. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:17, pp:3557-3573 [Journal]

  79. Co-Training on Handwritten Digit Recognition. [Citation Graph (, )][DBLP]


  80. Semi-supervised Self-training for Sentence Subjectivity Classification. [Citation Graph (, )][DBLP]


  81. Hybrid differential evolution based on fuzzy C-means clustering. [Citation Graph (, )][DBLP]


  82. Active Learning with Generalized Queries. [Citation Graph (, )][DBLP]


  83. Discriminative parameter learning for Bayesian networks. [Citation Graph (, )][DBLP]


  84. Active learning with direct query construction. [Citation Graph (, )][DBLP]


  85. When does Co-training Work in Real Data?. [Citation Graph (, )][DBLP]


  86. Supervised Learning with Minimal Effort. [Citation Graph (, )][DBLP]


  87. Asking Generalized Queries to Ambiguous Oracle. [Citation Graph (, )][DBLP]


  88. Proper Model Selection with Significance Test. [Citation Graph (, )][DBLP]


  89. A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. [Citation Graph (, )][DBLP]


  90. A clustering-based differential evolution for global optimization. [Citation Graph (, )][DBLP]


  91. Semi-Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation. [Citation Graph (, )][DBLP]


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