Charles X. Ling - researchr alias

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2011

A clustering-based differential evolution for global optimizationZhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang. asc, 11(1):1363-1379, 2011. [doi]

Asking Generalized Queries with Minimum CostJun Du, Charles X. Ling. pakdd 2011: 395-406 [doi]

Active Teaching for Inductive LearnersJun Du, Charles X. Ling. sdm 2011: 851-861 [doi]

When Does Cotraining Work in Real Data?Jun Du, Charles X. Ling, Zhi-Hua Zhou. tkde, 23(5):788-799, 2011. [doi]

Enhanced Differential Evolution With Adaptive Strategies for Numerical OptimizationWenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li. tsmc, 41(2):397-413, 2011. [doi]

A New Search Engine Integrating Hierarchical Browsing and Keyword SearchDa Kuang, Xiao Li, Charles X. Ling. IJCAI 2011: 2464-2469 [doi]

Introduction to special issue on machine learning for business applicationsCharles X. Ling. tist, 2(3):18, 2011. [doi]

2010

Asking Generalized Queries to Domain Experts to Improve LearningJun Du, Charles X. Ling. tkde, 22(6):812-825, 2010. [doi]

Asking Generalized Queries to Ambiguous OracleJun Du, Charles X. Ling. pkdd 2010: 377-392 [doi]

Adapting cost-sensitive learning for reject optionJun Du, Eileen A. Ni, Charles X. Ling. CIKM 2010: 1865-1868 [doi]

Active Learning with Human-Like Noisy OracleJun Du, Charles X. Ling. icdm 2010: 797-802 [doi]

DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimizationWenyin Gong, Zhihua Cai, Charles X. Ling. soco, 15(4):645-665, 2010. [doi]

A real-coded biogeography-based optimization with mutationWenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li. amc, 216(9):2749-2758, 2010. [doi]

Supervised Learning with Minimal EffortEileen A. Ni, Charles X. Ling. pakdd 2010: 476-487 [doi]

2009

2008

Proper Model Selection with Significance TestJin Huang, Charles X. Ling, Harry Zhang, Stan Matwin. pkdd 2008: 536-547 [doi]

Active learning with direct query constructionCharles X. Ling, Jun Du. kdd 2008: 480-487 [doi]

Discriminative parameter learning for Bayesian networksJiang Su, Harry Zhang, Charles X. Ling, Stan Matwin. icml 2008: 1016-1023 [doi]

Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. ProceedingsChangjie Tang, Charles X. Ling, Xiaofang Zhou, Nick Cercone, Xue Li, editors, Volume 5139 of Lecture Notes in Computer Science, Springer, 2008.

Semi-supervised Self-training for Sentence Subjectivity ClassificationBin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang. ai 2008: 344-355 [doi]

2007

Cost-Sensitive Decision Trees with Pre-pruningJun Du, Zhihua Cai, Charles X. Ling. ai 2007: 171-179 [doi]

Customized classification learning based on query projectionsYiqiu Han, Wai Lam, Charles X. Ling. isci, 177(17):3557-3573, 2007. [doi]

Constructing New and Better Evaluation Measures for Machine LearningJin Huang, Charles X. Ling. IJCAI 2007: 859-864 [doi]

Partial example acquisition in cost-sensitive learningVictor S. Sheng, Charles X. Ling. kdd 2007: 638-646 [doi]

Roulette Sampling for Cost-Sensitive LearningVictor S. Sheng, Charles X. Ling. ecml 2007: 724-731 [doi]

Machine learning for stock selectionRobert J. Yan, Charles X. Ling. kdd 2007: 1038-1042 [doi]

Extracting Actionable Knowledge from Decision TreesQiang Yang, Jie Yin, Charles X. Ling, Rong Pan. tkde, 19(1):43-56, 2007. [doi]

A Multi-Objective Genetic Algorithm Based on DensityJinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling. isica 2007: 12-25 [doi]

2006

ODE: A Fast and Robust Differential Evolution Based on Orthogonal DesignWenyin Gong, Zhihua Cai, Charles X. Ling. ausai 2006: 709-718 [doi]

Constructing Ensembles for Better RankingJin Huang, Charles X. Ling. icdm 2006: 902-906 [doi]

Keyphrase Extraction Using Semantic Networks Structure AnalysisChong Huang, YongHong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang. icdm 2006: 275-284 [doi]

IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomicsDequan Li, Wen Gao, Charles X. Ling, Xiaobiao Wang, Ruixiang Sun, Simin He. bioinformatics, 22(20):2572-2573, 2006. [doi]

Maximum profit mining and its application in software developmentCharles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji. kdd 2006: 929-934 [doi]

Test Strategies for Cost-Sensitive Decision TreesCharles X. Ling, Victor S. Sheng, Qiang Yang. tkde, 18(8):1055-1067, 2006. [doi]

Discovering Classification from Data of Multiple SourcesCharles X. Ling, Qiang Yang. datamine, 12(2-3):181-201, 2006. [doi]

Thresholding for Making Classifiers Cost-sensitiveVictor S. Sheng, Charles X. Ling. AAAI 2006:

Feature value acquisition in testing: a sequential batch test algorithmVictor S. Sheng, Charles X. Ling. icml 2006: 809-816 [doi]

Cost-Sensitive Test StrategiesShengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang. AAAI 2006:

Learning Contextual Dependency Network Models for Link-Based ClassificationYongHong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao. tkde, 18(11):1482-1496, 2006. [doi]

Test-Cost Sensitive Classification on Data with Missing ValuesQiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan. tkde, 18(5):626-638, 2006. [doi]

2005

Partial Ensemble Classifiers Selection for Better RankingJin Huang, Charles X. Ling. icdm 2005: 653-656 [doi]

Dynamic Ensemble Re-Construction for Better RankingJin Huang, Charles X. Ling. pkdd 2005: 511-518 [doi]

Rank Measures for OrderingJin Huang, Charles X. Ling. pkdd 2005: 503-510 [doi]

Using AUC and Accuracy in Evaluating Learning Algorithms - AppendicesJin Huang, Charles X. Ling. tkde, 17(3), 2005. [doi]

Using AUC and Accuracy in Evaluating Learning AlgorithmsJin Huang, Charles X. Ling. tkde, 17(3):299-310, 2005. [doi]

pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometryDequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao. bioinformatics, 21(13):3049-3050, 2005. [doi]

Predicting Software Escalations with Maximum ROICharles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji. icdm 2005: 717-720 [doi]

Guest Editors Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1Charles X. Ling, William Stafford Noble, Qiang Yang. tcbb, 2(2):81-82, 2005. [doi]

Guest Editor s Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2Charles X. Ling, William Stafford Noble, Qiang Yang. tcbb, 2(3):177-178, 2005. [doi]

Hybrid Cost-Sensitive Decision TreeShengli Sheng, Charles X. Ling. pkdd 2005: 274-284 [doi]

Simple Test Strategies for Cost-Sensitive Decision TreesShengli Sheng, Charles X. Ling, Qiang Yang. ecml 2005: 365-376 [doi]

Missing Is Useful : Missing Values in Cost-Sensitive Decision TreesShichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng. tkde, 17(12):1689-1693, 2005. [doi]

2004

Test-Cost Sensitive Naive Bayes ClassificationXiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling. icdm 2004: 51-58 [doi]

Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometryYan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao. bioinformatics, 20(12):1948-1954, 2004. [doi]

A Kernel-Based Case Retrieval Algorithm with Application to BioinformaticsYan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao. pricai 2004: 544-553 [doi]

Decision trees with minimal costsCharles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang. icml 2004: [doi]

Artificial Aging of Faces by Support Vector MachinesJianning Wang, Charles X. Ling. ai 2004: 499-503 [doi]

A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic AlgorithmsJinhua Zheng, Zhongzhi Shi, Charles X. Ling, Yong Xie. ifip12 2005: 456-470 [doi]

A Multi-objective Genetic Algorithm Based on Quick SortJinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li. ai 2004: 175-186 [doi]

2003

Intelligent Protein 3D Structure Retrieval SystemYiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling. ismis 2003: 108-115 [doi]

Comparing Naive Bayes, Decision Trees, and SVM with AUC and AccuracyJin Huang, Jingjing Lu, Charles X. Ling. icdm 2003: 553-556 [doi]

Cognitive agents and multiagent interactionJean-Luc Koning, Charles X. Ling. cogsr, 4(3):167-168, 2003. [doi]

AUC: A Better Measure than Accuracy in Comparing Learning AlgorithmsCharles X. Ling, Jin Huang, Harry Zhang. ai 2003: 329-341 [doi]

Decision Tree with Better RankingCharles X. Ling, Robert J. Yan. icml 2003: 480-487

AUC: a Statistically Consistent and more Discriminating Measure than AccuracyCharles X. Ling, Jin Huang, Harry Zhang. IJCAI 2003: 519-526

Postprocessing Decision Trees to Extract Actionable KnowledgeQiang Yang, Jie Yin, Charles X. Ling, Tielin Chen. icdm 2003: 685-688 [doi]

Numeric Mapping and Learnability of Naive BayesHarry Zhang, Charles X. Ling. aai, 17(5-6):507-518, 2003. [doi]

A Fundamental Issue of Naive BayesHarry Zhang, Charles X. Ling. ai 2003: 591-595 [doi]

2002

Learning Prosodic Patterns for Mandarin Speech SynthesisYiqiang Chen, Wen Gao, Tingshao Zhu, Charles X. Ling. jiis, 19(1):95-109, 2002.

Learning good prototypes for classification using filtering and abstraction of instancesWai Lam, Chi-Kin Keung, Charles X. Ling. PR, 35(7):1491-1506, 2002. [doi]

Mining Optimal Actions for Profitable CRMCharles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng. icdm 2002: 767-770 [doi]

The Representational Power of Discrete Bayesian NetworksCharles X. Ling, Huajie Zhang. jmlr, 3:709-721, 2002. [doi]

Toward Bayesian Classifiers with Accurate ProbabilitiesCharles X. Ling, Huajie Zhang. pakdd 2002: 123-134 [doi]

Editorial NotesCharles X. Ling, Nick Cercone. ijfcs, 13(4):473-475, 2002. [doi]

Improving Encarta Search Engine Performance by Mining User LogsCharles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang. ijprai, 16(8):1101-1116, 2002. [doi]

Representational Upper Bounds of Bayesian NetworksHuajie Zhang, Charles X. Ling. icml 2002: 674-681

2001

2000

The Learnability of Naive BayesHuajie Zhang, Charles X. Ling, Zhiduo Zhao. ai 2000: 432-441 [doi]

1998

Grapheme Generation in Learning to Read English WordsCharles X. Ling, Bei Zhang. ai 1998: 184-195

Data Mining for Direct Marketing: Problems and SolutionsCharles X. Ling, Chenghui Li. kdd 1998: 73-79

Computational Cognitive Modeling, the Source of Power, and Other Related IssuesRon Sun, Charles X. Ling. aim, 19(2):113-120, 1998.

1997

Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5Charles X. Ling, John J. Parry, Hangdong Wang. ijprai, 11(3):405-415, 1997.

Computing Optimal Attribute Weight Settings for Nearest Neighbor AlgorithmsCharles X. Ling, Hangdong Wang. air, 11(1-5):255-272, 1997.

Alignment Algorithms for Learning to Read AloudCharles X. Ling, Handong Wang. IJCAI 1997: 874-879

1996

Learning Classifications from Multiple Sources of Unsupervised DataCharles X. Ling, Handong Wang. ai 1996: 284-295

A Decision-Tree Model of Balance Scale DevelopmentWilliam C. Schmidt, Charles X. Ling. ml, 24(3):203-230, 1996.

1995

Overfitting and generalization in learning discrete patternsCharles X. Ling. ijon, 8(3):341-347, 1995. [doi]

1994

Inverting Implication with Small Training SetsDavid W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin. ecml 1994: 31-48

Learning Recursive Relations with Randomly Selected Small Training SetsDavid W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin. icml 1994: 12-18

Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist ModelsCharles X. Ling. jair, 1:209-229, 1994.

A Symbolic Model of the Nonconscious Acquisition of InformationCharles X. Ling, Marin Marinov. cogsci, 18(4):595-621, 1994.

1993

A Symbolic Model for Learning the Past-Tenses of English VerbsCharles X. Ling, Steven Cherwenka, Marin Marinov. IJCAI 1993: 1143-1149

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