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Charles X. Ling Vis

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*2009
87EEJun Du, Charles X. Ling: Co-Training on Handwritten Digit Recognition. Canadian Conference on AI 2009: 203-206
86EEWenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du: Hybrid differential evolution based on fuzzy C-means clustering. GECCO 2009: 523-530
85EEWenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang: A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA 2009: 151-162
84EECharles X. Ling, Jun Du, Zhi-Hua Zhou: When does Co-training Work in Real Data?. PAKDD 2009: 596-603
2008
83 Changjie Tang, Charles X. Ling, Xiaofang Zhou, Nick Cercone, Xue Li: Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings Springer 2008
82EEBin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang: Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI 2008: 344-355
81EEJin Huang, Charles X. Ling, Harry Zhang, Stan Matwin: Proper Model Selection with Significance Test. ECML/PKDD (1) 2008: 536-547
80EEJiang Su, Harry Zhang, Charles X. Ling, Stan Matwin: Discriminative parameter learning for Bayesian networks. ICML 2008: 1016-1023
79EECharles X. Ling, Jun Du: Active learning with direct query construction. KDD 2008: 480-487
2007
78EEJun Du, Zhihua Cai, Charles X. Ling: Cost-Sensitive Decision Trees with Pre-pruning. Canadian Conference on AI 2007: 171-179
77EEVictor S. Sheng, Charles X. Ling: Roulette Sampling for Cost-Sensitive Learning. ECML 2007: 724-731
76EEJin Huang, Charles X. Ling: Constructing New and Better Evaluation Measures for Machine Learning. IJCAI 2007: 859-864
75EEJinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling: A Multi-Objective Genetic Algorithm Based on Density. ISICA 2007: 12-25
74EERobert J. Yan, Charles X. Ling: Machine learning for stock selection. KDD 2007: 1038-1042
73EEVictor S. Sheng, Charles X. Ling: Partial example acquisition in cost-sensitive learning. KDD 2007: 638-646
72EEQiang Yang, Jie Yin, Charles X. Ling, Rong Pan: Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. 19(1): 43-56 (2007)
71EEYiqiu Han, Wai Lam, Charles X. Ling: Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007)
2006
70 Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang: Cost-Sensitive Test Strategies. AAAI 2006
69 Victor S. Sheng, Charles X. Ling: Thresholding for Making Classifiers Cost-sensitive. AAAI 2006
68EEWenyin Gong, Zhihua Cai, Charles X. Ling: ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. Australian Conference on Artificial Intelligence 2006: 709-718
67EEChong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang: Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM 2006: 275-284
66EEJin Huang, Charles X. Ling: Constructing Ensembles for Better Ranking. ICDM 2006: 902-906
65EEVictor S. Sheng, Charles X. Ling: Feature value acquisition in testing: a sequential batch test algorithm. ICML 2006: 809-816
64EECharles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji: Maximum profit mining and its application in software development. KDD 2006: 929-934
63EEDequan 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. Bioinformatics 22(20): 2572-2573 (2006)
62EECharles X. Ling, Qiang Yang: Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12(2-3): 181-201 (2006)
61EEYongHong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao: Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. 18(11): 1482-1496 (2006)
60EEQiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan: Test-Cost Sensitive Classification on Data with Missing Values. IEEE Trans. Knowl. Data Eng. 18(5): 626-638 (2006)
59EECharles X. Ling, Victor S. Sheng, Qiang Yang: Test Strategies for Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 18(8): 1055-1067 (2006)
2005
58EEShengli Sheng, Charles X. Ling, Qiang Yang: Simple Test Strategies for Cost-Sensitive Decision Trees. ECML 2005: 365-376
57EEJin Huang, Charles X. Ling: Partial Ensemble Classifiers Selection for Better Ranking. ICDM 2005: 653-656
56EECharles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji: Predicting Software Escalations with Maximum ROI. ICDM 2005: 717-720
55EEShengli Sheng, Charles X. Ling: Hybrid Cost-Sensitive Decision Tree. PKDD 2005: 274-284
54EEJin Huang, Charles X. Ling: Rank Measures for Ordering. PKDD 2005: 503-510
53EEJin Huang, Charles X. Ling: Dynamic Ensemble Re-Construction for Better Ranking. PKDD 2005: 511-518
52EEDequan 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. Bioinformatics 21(13): 3049-3050 (2005)
51EEShichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng: "Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 17(12): 1689-1693 (2005)
50EEJin Huang, Charles X. Ling: Using AUC and Accuracy in Evaluating Learning Algorithms - Appendices. IEEE Trans. Knowl. Data Eng. 17(3): (2005)
49EEJin Huang, Charles X. Ling: Using AUC and Accuracy in Evaluating Learning Algorithms. IEEE Trans. Knowl. Data Eng. 17(3): 299-310 (2005)
48EECharles X. Ling, William Stafford Noble, Qiang Yang: Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE/ACM Trans. Comput. Biology Bioinform. 2(2): 81-82 (2005)
47EECharles X. Ling, William Stafford Noble, Qiang Yang: Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. IEEE/ACM Trans. Comput. Biology Bioinform. 2(3): 177-178 (2005)
2004
46EEJinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li: A Multi-objective Genetic Algorithm Based on Quick Sort. Canadian Conference on AI 2004: 175-186
45EEJianning Wang, Charles X. Ling: Artificial Aging of Faces by Support Vector Machines. Canadian Conference on AI 2004: 499-503
44EEXiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling: Test-Cost Sensitive Naive Bayes Classification. ICDM 2004: 51-58
43EECharles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang: Decision trees with minimal costs. ICML 2004
42EEJinhua Zheng, Zhongzhi Shi, Charles X. Ling, Yong Xie: A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms. Intelligent Information Processing 2004: 456-470
41EEYan 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. PRICAI 2004: 544-553
40EEYan 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. Bioinformatics 20(12): 1948-1954 (2004)
2003
39EECharles X. Ling, Jin Huang, Harry Zhang: AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. Canadian Conference on AI 2003: 329-341
38EEHarry Zhang, Charles X. Ling: A Fundamental Issue of Naive Bayes. Canadian Conference on AI 2003: 591-595
37EEJin Huang, Jingjing Lu, Charles X. Ling: Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. ICDM 2003: 553-556
36EEQiang Yang, Jie Yin, Charles X. Ling, Tielin Chen: Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM 2003: 685-688
35 Charles X. Ling, Robert J. Yan: Decision Tree with Better Ranking. ICML 2003: 480-487
34 Charles X. Ling, Jin Huang, Harry Zhang: AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. IJCAI 2003: 519-526
33EEYiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling: Intelligent Protein 3D Structure Retrieval System. ISMIS 2003: 108-115
32EEHarry Zhang, Charles X. Ling: Numeric Mapping and Learnability of Naive Bayes. Applied Artificial Intelligence 17(5-6): 507-518 (2003)
2002
31EECharles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng: Mining Optimal Actions for Profitable CRM. ICDM 2002: 767-770
30 Huajie Zhang, Charles X. Ling: Representational Upper Bounds of Bayesian Networks. ICML 2002: 674-681
29EECharles X. Ling, Huajie Zhang: Toward Bayesian Classifiers with Accurate Probabilities. PAKDD 2002: 123-134
28EECharles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang: Improving Encarta Search Engine Performance by Mining User Logs. IJPRAI 16(8): 1101-1116 (2002)
27EECharles X. Ling, Nick Cercone: Editorial Notes. Int. J. Found. Comput. Sci. 13(4): 473-475 (2002)
26 Yiqiang Chen, Wen Gao, Tingshao Zhu, Charles X. Ling: Learning Prosodic Patterns for Mandarin Speech Synthesis. J. Intell. Inf. Syst. 19(1): 95-109 (2002)
25EECharles X. Ling, Huajie Zhang: The Representational Power of Discrete Bayesian Networks. Journal of Machine Learning Research 3: 709-721 (2002)
24EEWai Lam, Chi-Kin Keung, Charles X. Ling: Learning good prototypes for classification using filtering and abstraction of instances. Pattern Recognition 35(7): 1491-1506 (2002)
2001
23EEHuajie Zhang, Charles X. Ling: Geometric Properties of Naive Bayes in Nominal Domains. ECML 2001: 588-599
22EECharles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang: Mining Generalized Query Patterns from Web Logs. HICSS 2001
21 Huajie Zhang, Charles X. Ling: Learnability of Augmented Naive Bayes in Nonimal Domains. ICML 2001: 617-623
20EEHuajie Zhang, Charles X. Ling: An Improved Learning Algorithm for Augmented Naive Bayes. PAKDD 2001: 581-586
2000
19EEHuajie Zhang, Charles X. Ling, Zhiduo Zhao: The Learnability of Naive Bayes. Canadian Conference on AI 2000: 432-441
1998
18 Charles X. Ling, Bei Zhang: Grapheme Generation in Learning to Read English Words. Canadian Conference on AI 1998: 184-195
17 Charles X. Ling, Chenghui Li: Data Mining for Direct Marketing: Problems and Solutions. KDD 1998: 73-79
16 Ron Sun, Charles X. Ling: Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Magazine 19(2): 113-120 (1998)
1997
15 Charles X. Ling, Handong Wang: Alignment Algorithms for Learning to Read Aloud. IJCAI (2) 1997: 874-879
14 Charles X. Ling, Hangdong Wang: Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms. Artif. Intell. Rev. 11(1-5): 255-272 (1997)
13 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)
1996
12 Charles X. Ling, Handong Wang: Learning Classifications from Multiple Sources of Unsupervised Data. Canadian Conference on AI 1996: 284-295
11 William C. Schmidt, Charles X. Ling: A Decision-Tree Model of Balance Scale Development. Machine Learning 24(3): 203-230 (1996)
1995
10EECharles X. Ling: Overfitting and generalization in learning discrete patterns. Neurocomputing 8(3): 341-347 (1995)
1994
9EEDavid W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin: Inverting Implication with Small Training Sets. ECML 1994: 31-48
8 David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin: Learning Recursive Relations with Randomly Selected Small Training Sets. ICML 1994: 12-18
7EECharles X. Ling: Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models CoRR cs.AI/9402101: (1994)
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. J. Artif. Intell. Res. (JAIR) 1: 209-229 (1994)
1993
4EECharles 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
1991
1 Charles X. Ling: Inductive Learning from Good Examples. IJCAI 1991: 751-756

Coauthor Index

1David W. Aha [8] [9]
2Tilmann F. W. Bruckhaus [56] [64]
3Ralph Buchal [4]
4Zhihua Cai [68] [78] [85] [86]
5Nick Cercone [27] [83]
6Xiaoyong Chai [44] [60]
7Tielin Chen [31] [36]
8Xiang Chen [33]
9Yiqiang Chen [26] [33] [41]
10Jie Cheng [31]
11Steven Cherwenka [2]
12Lin Deng [44]
13Jun Du [78] [79] [84] [86] [87]
14Lijuan Duan [33]
15Yan Fu [40] [41] [52]
16Jianfeng Gao [22] [28]
17Wen Gao [26] [33] [40] [41] [52] [61] [63]
18Wenyin Gong [68] [85] [86]
19Yiqiu Han [71]
20Simin He [41] [52] [63]
21Bo Huang [85]
22Chong Huang [67]
23Jin Huang [34] [37] [39] [49] [50] [53] [54] [57] [66] [76] [81]
24Tiejun Huang [61] [67]
25Chi-Kin Keung [24]
26Wai Lam [24] [71]
27Stephane Lapointe [3] [8] [9]
28Chenghui Li [17]
29Dequan Li [40] [41] [52] [63]
30Xue Li [83]
31Xuyong Li [46] [75]
32Jingjing Lu [37]
33Nazim H. Madhavji [56] [64]
34Marin Marinov [2] [6]
35Stan Matwin [3] [8] [9] [80] [81]
36Ailing Ni [70]
37William Stafford Noble [47] [48]
38Rong Pan [60] [72]
39John J. Parry [13]
40Weining Qian [22] [28]
41Zhenxing Qin [51]
42William C. Schmidt [11]
43Shengli Sheng [51] [55] [56] [58] [70]
44Victor S. Sheng [59] [64] [65] [69] [73] [77]
45Zhongzhi Shi [42] [46]
46Wu Song [75]
47Bruce Spencer [82]
48Jiang Su [80]
49Ron Sun [16]
50Ruixiang Sun [40] [41] [52] [63]
51Changjie Tang (Chang-jie Tang) [83]
52YongHong Tian [61] [67]
53Bin Wang [82]
54Haipeng Wang [41]
55Handong Wang [12] [15]
56Hangdong Wang [13] [14]
57Jianning Wang [43] [45]
58Xiaobiao Wang [63]
59Yonggang Wei [52]
60Guixia Xiao [75]
61Yong Xie [42]
62Juan Xue [46]
63Robert J. Yan [35] [74]
64Qiang Yang [31] [36] [40] [41] [43] [44] [47] [48] [52] [58] [59] [60] [61] [62] [72]
65Jie Yin [36] [72]
66Rong Zeng [40] [41] [52]
67Bei Zhang [18]
68Harry Zhang [32] [34] [38] [39] [80] [81] [82]
69HongJiang Zhang (Hong-Jiang Zhang) [22] [28]
70Huajie Zhang [19] [20] [21] [22] [23] [25] [28] [29] [30]
71Shichao Zhang [43] [51] [70]
72Zhiduo Zhao [19]
73Jinhua Zheng [42] [46] [75]
74Hu Zhou [41] [52]
75Xiaofang Zhou [83]
76Zhi Zhou [67]
77Zhi-Hua Zhou [84]
78Tingshao Zhu [26]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)