| 2009 |
|---|
| 84 | EE | Charles 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 |
| 82 | EE | Bin Wang,
Bruce Spencer,
Charles X. Ling,
Harry Zhang:
Semi-supervised Self-training for Sentence Subjectivity Classification.
Canadian Conference on AI 2008: 344-355 |
| 81 | EE | Jin Huang,
Charles X. Ling,
Harry Zhang,
Stan Matwin:
Proper Model Selection with Significance Test.
ECML/PKDD (1) 2008: 536-547 |
| 80 | EE | Jiang Su,
Harry Zhang,
Charles X. Ling,
Stan Matwin:
Discriminative parameter learning for Bayesian networks.
ICML 2008: 1016-1023 |
| 79 | EE | Charles X. Ling,
Jun Du:
Active learning with direct query construction.
KDD 2008: 480-487 |
| 2007 |
|---|
| 78 | EE | Jun Du,
Zhihua Cai,
Charles X. Ling:
Cost-Sensitive Decision Trees with Pre-pruning.
Canadian Conference on AI 2007: 171-179 |
| 77 | EE | Victor S. Sheng,
Charles X. Ling:
Roulette Sampling for Cost-Sensitive Learning.
ECML 2007: 724-731 |
| 76 | EE | Jin Huang,
Charles X. Ling:
Constructing New and Better Evaluation Measures for Machine Learning.
IJCAI 2007: 859-864 |
| 75 | EE | Jinhua Zheng,
Guixia Xiao,
Wu Song,
Xuyong Li,
Charles X. Ling:
A Multi-Objective Genetic Algorithm Based on Density.
ISICA 2007: 12-25 |
| 74 | EE | Robert J. Yan,
Charles X. Ling:
Machine learning for stock selection.
KDD 2007: 1038-1042 |
| 73 | EE | Victor S. Sheng,
Charles X. Ling:
Partial example acquisition in cost-sensitive learning.
KDD 2007: 638-646 |
| 72 | EE | Qiang Yang,
Jie Yin,
Charles X. Ling,
Rong Pan:
Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng. 19(1): 43-56 (2007) |
| 71 | EE | Yiqiu 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 |
| 68 | EE | Wenyin 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 |
| 67 | EE | Chong Huang,
YongHong Tian,
Zhi Zhou,
Charles X. Ling,
Tiejun Huang:
Keyphrase Extraction Using Semantic Networks Structure Analysis.
ICDM 2006: 275-284 |
| 66 | EE | Jin Huang,
Charles X. Ling:
Constructing Ensembles for Better Ranking.
ICDM 2006: 902-906 |
| 65 | EE | Victor S. Sheng,
Charles X. Ling:
Feature value acquisition in testing: a sequential batch test algorithm.
ICML 2006: 809-816 |
| 64 | EE | Charles 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 |
| 63 | EE | 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.
Bioinformatics 22(20): 2572-2573 (2006) |
| 62 | EE | Charles X. Ling,
Qiang Yang:
Discovering Classification from Data of Multiple Sources.
Data Min. Knowl. Discov. 12(2-3): 181-201 (2006) |
| 61 | EE | YongHong 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) |
| 60 | EE | Qiang 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) |
| 59 | EE | Charles 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 |
|---|
| 58 | EE | Shengli Sheng,
Charles X. Ling,
Qiang Yang:
Simple Test Strategies for Cost-Sensitive Decision Trees.
ECML 2005: 365-376 |
| 57 | EE | Jin Huang,
Charles X. Ling:
Partial Ensemble Classifiers Selection for Better Ranking.
ICDM 2005: 653-656 |
| 56 | EE | Charles X. Ling,
Shengli Sheng,
Tilmann F. W. Bruckhaus,
Nazim H. Madhavji:
Predicting Software Escalations with Maximum ROI.
ICDM 2005: 717-720 |
| 55 | EE | Shengli Sheng,
Charles X. Ling:
Hybrid Cost-Sensitive Decision Tree.
PKDD 2005: 274-284 |
| 54 | EE | Jin Huang,
Charles X. Ling:
Rank Measures for Ordering.
PKDD 2005: 503-510 |
| 53 | EE | Jin Huang,
Charles X. Ling:
Dynamic Ensemble Re-Construction for Better Ranking.
PKDD 2005: 511-518 |
| 52 | EE | 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.
Bioinformatics 21(13): 3049-3050 (2005) |
| 51 | EE | Shichao 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) |
| 50 | EE | Jin Huang,
Charles X. Ling:
Using AUC and Accuracy in Evaluating Learning Algorithms - Appendices.
IEEE Trans. Knowl. Data Eng. 17(3): (2005) |
| 49 | EE | Jin Huang,
Charles X. Ling:
Using AUC and Accuracy in Evaluating Learning Algorithms.
IEEE Trans. Knowl. Data Eng. 17(3): 299-310 (2005) |
| 48 | EE | Charles 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) |
| 47 | EE | Charles 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 |
|---|
| 46 | EE | Jinhua 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 |
| 45 | EE | Jianning Wang,
Charles X. Ling:
Artificial Aging of Faces by Support Vector Machines.
Canadian Conference on AI 2004: 499-503 |
| 44 | EE | Xiaoyong Chai,
Lin Deng,
Qiang Yang,
Charles X. Ling:
Test-Cost Sensitive Naive Bayes Classification.
ICDM 2004: 51-58 |
| 43 | EE | Charles X. Ling,
Qiang Yang,
Jianning Wang,
Shichao Zhang:
Decision trees with minimal costs.
ICML 2004 |
| 42 | EE | Jinhua 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 |
| 41 | EE | 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.
PRICAI 2004: 544-553 |
| 40 | EE | 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.
Bioinformatics 20(12): 1948-1954 (2004) |
| 2003 |
|---|
| 39 | EE | Charles X. Ling,
Jin Huang,
Harry Zhang:
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.
Canadian Conference on AI 2003: 329-341 |
| 38 | EE | Harry Zhang,
Charles X. Ling:
A Fundamental Issue of Naive Bayes.
Canadian Conference on AI 2003: 591-595 |
| 37 | EE | Jin Huang,
Jingjing Lu,
Charles X. Ling:
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy.
ICDM 2003: 553-556 |
| 36 | EE | Qiang 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 |
| 33 | EE | Yiqiang Chen,
Wen Gao,
Lijuan Duan,
Xiang Chen,
Charles X. Ling:
Intelligent Protein 3D Structure Retrieval System.
ISMIS 2003: 108-115 |
| 32 | EE | Harry Zhang,
Charles X. Ling:
Numeric Mapping and Learnability of Naive Bayes.
Applied Artificial Intelligence 17(5-6): 507-518 (2003) |
| 2002 |
|---|
| 31 | EE | Charles 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 |
| 29 | EE | Charles X. Ling,
Huajie Zhang:
Toward Bayesian Classifiers with Accurate Probabilities.
PAKDD 2002: 123-134 |
| 28 | EE | Charles 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) |
| 27 | EE | Charles 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) |
| 25 | EE | Charles X. Ling,
Huajie Zhang:
The Representational Power of Discrete Bayesian Networks.
Journal of Machine Learning Research 3: 709-721 (2002) |
| 24 | EE | Wai 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 |
|---|
| 23 | EE | Huajie Zhang,
Charles X. Ling:
Geometric Properties of Naive Bayes in Nominal Domains.
ECML 2001: 588-599 |
| 22 | EE | Charles 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 |
| 20 | EE | Huajie Zhang,
Charles X. Ling:
An Improved Learning Algorithm for Augmented Naive Bayes.
PAKDD 2001: 581-586 |
| 2000 |
|---|
| 19 | EE | Huajie 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 |
|---|
| 10 | EE | Charles X. Ling:
Overfitting and generalization in learning discrete patterns.
Neurocomputing 8(3): 341-347 (1995) |
| 1994 |
|---|
| 9 | | David 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 |
| 7 | EE | Charles 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 |
|---|
| 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 |
| 1991 |
|---|
| 1 | | Charles X. Ling:
Inductive Learning from Good Examples.
IJCAI 1991: 751-756 |
