- Postprocessing Decision Trees to Extract Actionable Knowledge Qiang Yang and Jie Yin
- Predicting Software Escalations with Maximum ROI Charles X. Ling1
- Journal of Machine Learning Research 3 (2002) 709-721 Submitted 12/01; Published 12/02 The Representational Power of Discrete Bayesian Networks
- Answering the Connectionist Challenge: A Symbolic Model Of Learning the Past Tenses Of English Verbs \Lambda
- Decision Tree with Better Ranking Charles X. Ling cling@csd.uwo.ca
- Dynamic Ensemble Re-Construction for Better Ranking Jin Huang and Charles X. Ling
- Constructing New and Better Evaluation Measures for Machine Learning Jin Huang Charles X. Ling
- An Improved Learning Algorithm for Augmented Naive Bayes
- Overfitting and Generalization in Learning Discrete Patterns
- A Symbolic Model of the Nonconscious Acquisition of Information \Lambda
- Introducing New Predicates to Model Scientific Revolution
- Geometric Properties of Naive Bayes in Nominal Huajie Zhang and Charles X. Ling
- Journal of Artificial Intelligence Research 1 (1994) 209229 Submitted 11/93; published 2/94 Learning the Past Tense of English Verbs
- Deciding Weights for Nearest Neighbour Algorithms using Decision Trees
- Alignment Algorithms for Learning to Read Aloud Charles X. Ling Handong Wang
- International Journal of Foundations of Computer Science fl World Scientific Publishing Company
- Inductive Learning from Good Examples Xiaofeng (Charles) Ling
- Computational Cognitive Modeling, the Source of Power and Other Related Issues
- AUC: a Statistically Consistent and more Discriminating Measure than Accuracy Charles X. Ling Jin Huang Harry Zhang
- Proper Model Selection with Significance Test , Charles X. Ling2
- Learning Recursive Relations with Randomly Selected Small Training Sets
- A Fundamental Issue of Naive Bayes Harry Zhang 1 and Charles X. Ling 2
- pp: 1--16 (col.fig.: Nil) PROD. TYPE: COM ED: Indira
- Active Learning with Generalized Queries Department of Computer Science
- Learning to Control Dynamic Systems with Automatic Quantization
- Machine Learning, ??, 1--30 (199?) fl 199? Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Preprint. To appear in IEEE Transactions on Knowledge and Data Engineering Special Issue on Domain Driven Data Mining, 2010. Asking Generalized Queries to Domain Experts
- Representational Upper Bounds of Bayesian Networks Huajie Zhang hzhang@csd.uwo.ca
- When Does Co-Training Work in Real Data? Jun Du, Charles X. Ling, Senior Member, IEEE, and Zhi-Hua Zhou, Senior Member, IEEE
- Hybrid Cost-sensitive Decision Tree Shengli Sheng, Charles X. Ling
- BIOINFORMATICS Vol. 20 no. 12 2004, pages 19481954
- Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms
- Learnability of Augmented Naive Bayes in Nominal Domains Huajie Zhang hzhang@csd.uwo.ca
- AUC: a Better Measure than Accuracy in Comparing Learning Algorithms
- Active Learning with Direct Query Construction Charles X. Ling
- AUC: a Statistically Consistent and more Discriminating Measure than Accuracy Charles X. Ling Jin Huang Harry Zhang
- Feature Value Acquisition in Testing: A Sequential Batch Test Algorithm
- Predicting Irregular Past Tenses Comparing Symbolic and Connectionist models against Native English Speakers
- Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy Jin Huang Jingjing Lu \Lambda Charles X. Ling
- Call for Papers ACM Transactions on Intelligent Systems and Technology (ACM TIST)
- Invited Plenary Speech, Second International Conference on Cognitive Science. July 27-30, 1999. Japan. 1 Arti cial Intelligence for Improving Children's Thinking
- To appear in Encyclopedia of Machine Learning. C. Sammut (Ed.). Springer. 2008 Cost-Sensitive Learning and the Class Imbalance Problem
- "Missing is Useful": Missing Values in Cost-sensitive Decision Trees 1 Shichao Zhang, senior Member, IEEE
- Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics--Part 1
- Cost-Sensitive Test Strategies Victor S. Sheng, Charles X. Ling
- Thresholding for Making Classifiers Cost-sensitive Victor S. Sheng, Charles X. Ling
- Simple Test Strategies for Cost-Sensitive Decision Trees Shengli Sheng1
- Rank Measures for Ordering Jin Huang and Charles X. Ling
- Decision Trees with Minimal Costs Charles X. Ling CLING@CSD.UWO.CA
- To appear, KDD-98 (http://www-aig.jpl.nasa.gov/public/kdd98/). Plenary Presentation. 1 Data Mining for Direct Marketing: Problems and Solutions
- Software Escalation Prediction with Data Mining Tilmann Bruckhaus
- *This work was done while those authors were visiting Microsoft Research China. Mining Generalized Query Patterns from Web Logs
- When does Co-training Work in Real Data? Charles X. Ling1
- Mining Optimal Actions for Profitable CRM Charles X. Ling Tielin Chen
- Discriminative Parameter Learning for Bayesian Networks Jiang Su jsu@site.uottawa.ca
- Invited Plenary Speech, Second International Conference on Cognitive Science. July 2730, 1999. Japan. 1 Artificial Intelligence for Improving Children's Thinking
- To appear in 2011 International Joint Conference of Artificial Intelligence (IJCAI 2011), July 16-22, 2011. A New Search Engine Integrating Hierarchical Browsing and Keyword Search
- Test Strategies for Cost-Sensitive Decision Trees
