Kai Ming Ting Papers on DiSC'04 Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distribution Publications Note: Links lead to the DBLP on the Web. Kai Ming Ting Kai Ming Ting, Regina Jing Ying Quek : Model Stability: A key factor in determining whether an algorithm produces an optimal model from a matching distribution. ICDM 2003 : 653-656 Kai Ming Ting: A Study on the Effect of Class Distribution Using Cost-Sensitive Learning. Discovery Science 2002 : 98-112 Kai Ming Ting: Issues in Classifier Evaluation using Optimal Cost Curves. ICML 2002 : 642-649 Kai Ming Ting: An Instance-Weighting Method to Induce Cost-Sensitive Trees. IEEE Trans. Knowl. Data Eng. 14 (3): 659-665 (2002) Kai Ming Ting: An Empirical Study of MetaCost Using Boosting Algorithms. ECML 2000 : 413-425 Kai Ming Ting: A Comparative Study of Cost-Sensitive Boosting Algorithms. ICML 2000 : 983-990 Zijian Zheng , Geoffrey I. Webb , Kai Ming Ting: Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. ICML 1999 : 493-502 Kai Ming Ting, Zijian Zheng : Improving the Performance of Boosting for Naive Bayesian Classification. PAKDD 1999 : 296-305 Kai Ming Ting, Ian H. Witten : Issues in Stacked Generalization. JAIR 10 : 271-289 (1999) Kai Ming Ting, Boon Toh Low , Ian H. Witten : Learning from Batched Data: Model Combination Versus Data Combination. Knowl. Inf. Syst. 1 (1): 83-106 (1999) Kai Ming Ting, Zijian Zheng : Boosting Cost-Sensitive Trees. Discovery Science 1998 : 244-255 Kai Ming Ting, Zijian Zheng : Boosting Trees for Cost-Sensitive Classifications. ECML 1998 : 190-195 Kai Ming Ting: Inducing Cost-Sensitive Trees via Instance Weighting. PKDD 1998 : 139-147 Kai Ming Ting, Boon Toh Low : Model Combination in the Multiple-Data-Batches Scenario. ECML 1997 : 250-265 Kai Ming Ting, Ian H. Witten : Stacking Bagged and Dagged Models. ICML 1997 : 367-375 Kai Ming Ting, Ian H. Witten : Stacked Generalizations: When Does It Work? IJCAI (2) 1997 : 866-873 Kai Ming Ting: Discretisation in Lazy Learning Algorithms. Artif. Intell. Rev. 11 (1-5): 157-174 (1997) Kai Ming Ting: Decision Combination Based on the Characterisation of Predictive Accuracy. Intell. Data Anal. 1 (1-4): 181-205 (1997) Kai Ming Ting: The Characterisation of Predictive Accuracy and Decision Combination. ICML 1996 : 498-506 Kai Ming Ting: Towards using a Single Uniform Metric in Instance-Based Learning. ICCBR 1995 : 559-568 Kai Ming Ting: An M-of-N Rule Induction Algorithm and its Application to DNA Domain. HICSS (5) 1994 : 133-140 1 [ 8 ] [ 12 ] 2 [ 21 ] 3 [ 15 ] 4 [ 6 ] [ 7 ] [ 12 ] [ 13 ] 5 [ 10 ] [ 11 ] [ 14 ] [ 15 ] ©2004 Association for Computing Machinery