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Kai Ming Ting :
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Tasadduq Imam , Kai Ming Ting , Joarder Kamruzzaman z-SVM: An SVM for Improved Classification of Imbalanced Data. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2006, pp:264-273 [Conf ] Kwok Pan Pang , Kai Ming Ting Improving the Centered CUSUMS Statistic for Structural Break Detection in Time Series. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2004, pp:402-413 [Conf ] Ying Yang , Kevin B. Korb , Kai Ming Ting , Geoffrey I. Webb Ensemble Selection for SuperParent-One-Dependence Estimators. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2005, pp:102-112 [Conf ] Kai Ming Ting A Study on the Effect of Class Distribution Using Cost-Sensitive Learning. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2002, pp:98-112 [Conf ] Kai Ming Ting , Zijian Zheng Boosting Cost-Sensitive Trees. [Citation Graph (0, 0)][DBLP ] Discovery Science, 1998, pp:244-255 [Conf ] Kai Ming Ting An Empirical Study of MetaCost Using Boosting Algorithms. [Citation Graph (0, 0)][DBLP ] ECML, 2000, pp:413-425 [Conf ] Kai Ming Ting Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees. [Citation Graph (0, 0)][DBLP ] ECML, 2004, pp:429-440 [Conf ] Kai Ming Ting , Boon Toh Low Model Combination in the Multiple-Data-Batches Scenario. [Citation Graph (0, 0)][DBLP ] ECML, 1997, pp:250-265 [Conf ] Kai Ming Ting , Zijian Zheng Boosting Trees for Cost-Sensitive Classifications. [Citation Graph (0, 0)][DBLP ] ECML, 1998, pp:190-195 [Conf ] Ying Yang , Geoffrey I. Webb , Jesús Cerquides , Kevin B. Korb , Janice R. Boughton , Kai Ming Ting To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles. [Citation Graph (0, 0)][DBLP ] ECML, 2006, pp:533-544 [Conf ] Kai Ming Ting An M-of-N Rule Induction Algorithm and its Application to DNA Domain. [Citation Graph (0, 0)][DBLP ] HICSS (5), 1994, pp:133-140 [Conf ] Kai Ming Ting Towards using a Single Uniform Metric in Instance-Based Learning. [Citation Graph (0, 0)][DBLP ] ICCBR, 1995, pp:559-568 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] ICDM, 2003, pp:653-656 [Conf ] Kai Ming Ting A Comparative Study of Cost-Sensitive Boosting Algorithms. [Citation Graph (0, 0)][DBLP ] ICML, 2000, pp:983-990 [Conf ] Kai Ming Ting Issues in Classifier Evaluation using Optimal Cost Curves. [Citation Graph (0, 0)][DBLP ] ICML, 2002, pp:642-649 [Conf ] Kai Ming Ting The Characterisation of Predictive Accuracy and Decision Combination. [Citation Graph (0, 0)][DBLP ] ICML, 1996, pp:498-506 [Conf ] Kai Ming Ting , Ian H. Witten Stacking Bagged and Dagged Models. [Citation Graph (0, 0)][DBLP ] ICML, 1997, pp:367-375 [Conf ] Zijian Zheng , Geoffrey I. Webb , Kai Ming Ting Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees. [Citation Graph (0, 0)][DBLP ] ICML, 1999, pp:493-502 [Conf ] Kai Ming Ting , Ian H. Witten Stacked Generalizations: When Does It Work? [Citation Graph (0, 0)][DBLP ] IJCAI (2), 1997, pp:866-873 [Conf ] Fei Tony Liu , Kai Ming Ting Variable Randomness in Decision Tree Ensembles. [Citation Graph (0, 0)][DBLP ] PAKDD, 2006, pp:81-90 [Conf ] Fei Tony Liu , Kai Ming Ting , Wei Fan Maximizing Tree Diversity by Building Complete-Random Decision Trees. [Citation Graph (0, 0)][DBLP ] PAKDD, 2005, pp:605-610 [Conf ] Kai Ming Ting , Zijian Zheng Improving the Performance of Boosting for Naive Bayesian Classification. [Citation Graph (0, 0)][DBLP ] PAKDD, 1999, pp:296-305 [Conf ] Kai Ming Ting Inducing Cost-Sensitive Trees via Instance Weighting. [Citation Graph (0, 0)][DBLP ] PKDD, 1998, pp:139-147 [Conf ] Kai Ming Ting Discretisation in Lazy Learning Algorithms. [Citation Graph (0, 0)][DBLP ] Artif. Intell. Rev., 1997, v:11, n:1-5, pp:157-174 [Journal ] Kai Ming Ting Decision Combination Based on the Characterisation of Predictive Accuracy. [Citation Graph (0, 0)][DBLP ] Intell. Data Anal., 1997, v:1, n:1-4, pp:181-205 [Journal ] Kai Ming Ting , Ian H. Witten Issues in Stacked Generalization. [Citation Graph (0, 0)][DBLP ] J. Artif. Intell. Res. (JAIR), 1999, v:10, n:, pp:271-289 [Journal ] Kai Ming Ting , Boon Toh Low , Ian H. Witten Learning from Batched Data: Model Combination Versus Data Combination. [Citation Graph (0, 0)][DBLP ] Knowl. Inf. Syst., 1999, v:1, n:1, pp:83-106 [Journal ] Geoffrey I. Webb , Kai Ming Ting On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2005, v:58, n:1, pp:25-32 [Journal ] Kai Ming Ting An Instance-Weighting Method to Induce Cost-Sensitive Trees. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 2002, v:14, n:3, pp:659-665 [Journal ] Swee Chuan Tan , Kai Ming Ting , Shyh Wei Teng Examining Dissimilarity Scaling in Ant Colony Approaches to Data Clustering. [Citation Graph (0, 0)][DBLP ] ACAL, 2007, pp:269-280 [Conf ] Ying Yang , Geoffrey I. Webb , Jesús Cerquides , Kevin B. Korb , Janice R. Boughton , Kai Ming Ting To Select or To Weigh: A Comparative Study of Linear Combination Schemes for SuperParent-One-Dependence Estimators. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 2007, v:19, n:12, pp:1652-1665 [Journal ] Ehipasiko: A Content-based Image Indexing and Retrieval System. [Citation Graph (, )][DBLP ] Cocktail Ensemble for Regression. [Citation Graph (, )][DBLP ] Isolation Forest. [Citation Graph (, )][DBLP ] Mass estimation and its applications. [Citation Graph (, )][DBLP ] Boosting Support Vector Machines Successfully. [Citation Graph (, )][DBLP ] FaSS: Ensembles for Stable Learners. [Citation Graph (, )][DBLP ] On Detecting Clustered Anomalies Using SCiForest. [Citation Graph (, )][DBLP ] On Feature Combination for Music Classification. [Citation Graph (, )][DBLP ] Issues of grid-cluster retrievals in swarm-based clustering. [Citation Graph (, )][DBLP ] A Study of AdaBoost with Naive Bayesian Classifiers: Weakness and Improvement. [Citation Graph (, )][DBLP ] Search in 0.007secs, Finished in 0.009secs