The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.044secs, Finished in 0.051secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002