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Geoffrey I. Webb :
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Geoffrey I. Webb OPUS: An Efficient Admissible Algorithm for Unordered Search. [Citation Graph (1, 0)][DBLP ] J. Artif. Intell. Res. (JAIR), 1995, v:3, n:, pp:431-465 [Journal ] Philip A. Smith , Geoffrey I. Webb Transparency Debugging with Explanations for Novice Programmers. [Citation Graph (0, 0)][DBLP ] AADEBUG, 1995, pp:105-118 [Conf ] Jingli Lu , Ying Yang , Geoffrey I. Webb Incremental Discretization for Naïve-Bayes Classifier. [Citation Graph (0, 0)][DBLP ] ADMA, 2006, pp:223-238 [Conf ] Bark Cheung Chiu , Geoffrey I. Webb , Zijian Zheng Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 1997, pp:349-358 [Conf ] Shane M. Butler , Geoffrey I. Webb , Rob A. Lewis A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2003, pp:677-685 [Conf ] Yakov Frayman , Bernard F. Rolfe , Geoffrey I. Webb Solving Regression Problems Using Competitive Ensemble Models. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 2002, pp:511-522 [Conf ] Zhihai Wang , Geoffrey I. Webb , Fei Zheng Adjusting Dependence Relations for Semi-Lazy TAN Classifiers. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2003, pp:453-465 [Conf ] Geoffrey I. Webb Candidate Elimination Criteria for Lazy Bayesian Rules. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 2001, pp:545-556 [Conf ] Geoffrey I. Webb K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2005, pp:1-2 [Conf ] Geoffrey I. Webb Techniques for Efficient Empirical Induction. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 1988, pp:225-239 [Conf ] Geoffrey I. Webb The Problem of Missing Values in Decision Tree Grafting. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 1998, pp:273-283 [Conf ] Geoffrey I. Webb , Michael J. Pazzani Adjusted Probability Naive Bayesian Induction. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 1998, pp:285-295 [Conf ] Songmao Zhang , Geoffrey I. Webb Further Pruning for Efficient Association Rule Discovery. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 2001, pp:605-618 [Conf ] Zijian Zheng , Geoffrey I. Webb Stochastic Attribute Selection Committees. [Citation Graph (0, 0)][DBLP ] Australian Joint Conference on Artificial Intelligence, 1998, pp:321-332 [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 ] Ying Yang , Geoffrey I. Webb On Why Discretization Works for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP ] Australian Conference on Artificial Intelligence, 2003, pp:440-452 [Conf ] Shiying Huang , Geoffrey I. Webb Efficiently Identifying Exploratory Rules' Significance. [Citation Graph (0, 0)][DBLP ] Selected Papers from AusDM, 2006, pp:64-77 [Conf ] Geoffrey I. Webb , Damien Brain Generality Is Predictive of Prediction Accuracy. [Citation Graph (0, 0)][DBLP ] Selected Papers from AusDM, 2006, pp:1-13 [Conf ] Murlikrishna Viswanathan , Geoffrey I. Webb Classification Learning Using All Rules. [Citation Graph (0, 0)][DBLP ] ECML, 1998, pp:149-159 [Conf ] Ying Yang , Geoffrey I. Webb Proportional k-Interval Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP ] ECML, 2001, pp:564-575 [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 ] James E. Pearce , Geoffrey I. Webb , Robin N. Shaw , Brian Garner Experimentation and Self Learning in Continuous Database Marketing. [Citation Graph (0, 0)][DBLP ] ICDM, 2002, pp:775-778 [Conf ] Zhihai Wang , Geoffrey I. Webb Comparison of Lazy Bayesian Rule and Tree-Augmented Bayesian Learning. [Citation Graph (0, 0)][DBLP ] ICDM, 2002, pp:490-497 [Conf ] Ying Yang , Geoffrey I. Webb Non-Disjoint Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP ] ICML, 2002, pp:666-673 [Conf ] Fei Zheng , Geoffrey I. Webb Efficient lazy elimination for averaged one-dependence estimators. [Citation Graph (0, 0)][DBLP ] ICML, 2006, pp:1113-1120 [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 ] Douglas A. Newlands , Geoffrey I. Webb Polygonal Inductive Generalisation System. [Citation Graph (0, 0)][DBLP ] IEA/AIE, 1995, pp:587-592 [Conf ] Geoffrey I. Webb Decision Tree Grafting. [Citation Graph (0, 0)][DBLP ] IJCAI (2), 1997, pp:846-851 [Conf ] Geoffrey I. Webb Decision Tree Grafting From the All Tests But One Partition. [Citation Graph (0, 0)][DBLP ] IJCAI, 1999, pp:702-707 [Conf ] Mark Kuzmycz , Geoffrey I. Webb Evaluation of Feature Based Modelling in Subtraction. [Citation Graph (0, 0)][DBLP ] Intelligent Tutoring Systems, 1992, pp:269-276 [Conf ] Geoffrey I. Webb , Mark Kuzmycz Evaluation of Data Aging: A Technique for Discounting Old Data During Student Modeling. [Citation Graph (0, 0)][DBLP ] Intelligent Tutoring Systems, 1998, pp:384-393 [Conf ] Geoffrey I. Webb Efficient search for association rules. [Citation Graph (0, 0)][DBLP ] KDD, 2000, pp:99-107 [Conf ] Geoffrey I. Webb Discovering associations with numeric variables. [Citation Graph (0, 0)][DBLP ] KDD, 2001, pp:383-388 [Conf ] Geoffrey I. Webb Discovering significant rules. [Citation Graph (0, 0)][DBLP ] KDD, 2006, pp:434-443 [Conf ] Geoffrey I. Webb , Shane M. Butler , Douglas A. Newlands On detecting differences between groups. [Citation Graph (0, 0)][DBLP ] KDD, 2003, pp:256-265 [Conf ] Shiying Huang , Geoffrey I. Webb Pruning Derivative Partial Rules During Impact Rule Discovery. [Citation Graph (0, 0)][DBLP ] PAKDD, 2005, pp:71-80 [Conf ] Douglas A. Newlands , Geoffrey I. Webb Convex Hulls in Concept Induction. [Citation Graph (0, 0)][DBLP ] PAKDD, 1999, pp:306-316 [Conf ] Hongbo Shi , Zhihai Wang , Geoffrey I. Webb , Houkuan Huang A New Restricted Bayesian Network Classifier. [Citation Graph (0, 0)][DBLP ] PAKDD, 2003, pp:265-270 [Conf ] Dhananjay R. Thiruvady , Geoffrey I. Webb Mining Negative Rules Using GRD. [Citation Graph (0, 0)][DBLP ] PAKDD, 2004, pp:161-165 [Conf ] Zhihai Wang , Geoffrey I. Webb , Fei Zheng Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory. [Citation Graph (0, 0)][DBLP ] PAKDD, 2004, pp:319-328 [Conf ] Ying Yang , Geoffrey I. Webb Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers. [Citation Graph (0, 0)][DBLP ] PAKDD, 2003, pp:501-512 [Conf ] Zijian Zheng , Geoffrey I. Webb Stochastic Attribute Selection Committees with Aultiple Boosting: Learning More Accurate and More Stable Classifer Committees. [Citation Graph (0, 0)][DBLP ] PAKDD, 1999, pp:123-132 [Conf ] Damien Brain , Geoffrey I. Webb The Need for Low Bias Algorithms in Classification Learning from Large Data Sets. [Citation Graph (0, 0)][DBLP ] PKDD, 2002, pp:62-73 [Conf ] Geoffrey I. Webb Cost-Sensitive Specialization. [Citation Graph (0, 0)][DBLP ] PRICAI, 1996, pp:23-34 [Conf ] Shiying Huang , Geoffrey I. Webb Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Databases. [Citation Graph (0, 0)][DBLP ] SDM, 2005, pp:- [Conf ] Chengqi Zhang , Shichao Zhang , Geoffrey I. Webb Identifying Approximate Itemsets of Interest in Large Databases. [Citation Graph (0, 0)][DBLP ] Appl. Intell., 2003, v:18, n:1, pp:91-104 [Journal ] Geoffrey I. Webb Further Experimental Evidence against the Utility of Occam's Razor [Citation Graph (0, 0)][DBLP ] CoRR, 1996, v:0, n:, pp:- [Journal ] Geoffrey I. Webb , Songmao Zhang K-Optimal Rule Discovery. [Citation Graph (0, 0)][DBLP ] Data Min. Knowl. Discov., 2005, v:10, n:1, pp:39-79 [Journal ] Geoffrey I. Webb A Knowledge-Based Approach to Computer-Aided Learning. [Citation Graph (0, 0)][DBLP ] International Journal of Man-Machine Studies, 1988, v:29, n:3, pp:257-285 [Journal ] Honghua Dai , Geoffrey I. Webb Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP ] International Journal of Software Engineering and Knowledge Engineering, 2004, v:14, n:4, pp:365-368 [Journal ] Geoffrey I. Webb Further Experimental Evidence against the Utility of Occam's Razor. [Citation Graph (0, 0)][DBLP ] J. Artif. Intell. Res. (JAIR), 1996, v:4, n:, pp:397-417 [Journal ] Geoffrey I. Webb Integrating machine learning with knowledge acquisition through direct interaction with domain experts. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 1996, v:9, n:4, pp:253-266 [Journal ] Geoffrey I. Webb MultiBoosting: A Technique for Combining Boosting and Wagging. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2000, v:40, n:2, pp:159-196 [Journal ] Geoffrey I. Webb , Janice R. Boughton , Zhihai Wang Not So Naive Bayes: Aggregating One-Dependence Estimators. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2005, v:58, n:1, pp:5-24 [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 ] Geoffrey I. Webb , Jason Wells , Zijian Zheng An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition. [Citation Graph (0, 0)][DBLP ] Machine Learning, 1999, v:35, n:1, pp:5-23 [Journal ] Zijian Zheng , Geoffrey I. Webb Lazy Learning of Bayesian Rules. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2000, v:41, n:1, pp:53-84 [Journal ] Geoffrey I. Webb , Zijian Zheng Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 2004, v:16, n:8, pp:980-991 [Journal ] Bark Cheung Chiu , Geoffrey I. Webb Using Decision Trees for Agent Modeling: Improving Prediction Performance. [Citation Graph (0, 0)][DBLP ] User Model. User-Adapt. Interact., 1998, v:8, n:1-2, pp:131-152 [Journal ] Geoffrey I. Webb Preface to UMUAI Special Issue on Machine Learning for User Modeling. [Citation Graph (0, 0)][DBLP ] User Model. User-Adapt. Interact., 1998, v:8, n:1-2, pp:1-3 [Journal ] Geoffrey I. Webb , Mark Kuzmycz Feature Based Modelling: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agents' Competencies. [Citation Graph (0, 0)][DBLP ] User Model. User-Adapt. Interact., 1995, v:5, n:2, pp:117-150 [Journal ] Geoffrey I. Webb , Michael J. Pazzani , Daniel Billsus Machine Learning for User Modeling. [Citation Graph (0, 0)][DBLP ] User Model. User-Adapt. Interact., 2001, v:11, n:1-2, pp:19-29 [Journal ] Fei Zheng , Geoffrey I. Webb Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators. [Citation Graph (0, 0)][DBLP ] ECML, 2007, pp:490-501 [Conf ] Geoffrey I. Webb Finding the Real Patterns. [Citation Graph (0, 0)][DBLP ] PAKDD, 2007, pp:6- [Conf ] Geoffrey I. Webb Editorial. [Citation Graph (0, 0)][DBLP ] Data Min. Knowl. Discov., 2007, v:15, n:1, pp:1-2 [Journal ] Geoffrey I. Webb Discovering Significant Patterns. [Citation Graph (0, 0)][DBLP ] Machine Learning, 2007, v:68, n:1, pp:1-33 [Journal ] 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 ] Anytime learning and classification for online applications. [Citation Graph (, )][DBLP ] Multi-Strategy Ensemble Learning, Ensembles of Bayesian Classifiers, and the Problem of False Discoveries. [Citation Graph (, )][DBLP ] FaSS: Ensembles for Stable Learners. [Citation Graph (, )][DBLP ] A Comparative Study of Bandwidth Choice in Kernel Density Estimation for Naive Bayesian Classification. [Citation Graph (, )][DBLP ] Cascleave: towards more accurate prediction of caspase substrate cleavage sites. [Citation Graph (, )][DBLP ] Search in 0.005secs, Finished in 0.009secs