- Webb (1988) "Cognitive Diagnosis Using Student Attributions" Page 1 of 9 COGNITIVE DIAGNOSIS USING STUDENT
- Published in Proceedings of Information, Statistics and Induction in Science, Melbourne, World Scientific, 1996, pp. 20-30.
- In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, Nagoya, 1997, pp. 846-851. Decision Tree Grafting
- The Problem of Missing Values in Decision Tree Grafting
- Technical Note: Layered Critical Values: A Powerful Direct-Adjustment Approach to
- Learning Lazy Rules to Improve the Performance of Classi ers
- A Comparative Study of Semi-naive Bayes Methods in Classification Learning
- Discarding Insignificant Rules during Impact Rule Discovery in Large, Dense Shiying Huang
- Pruning Derivative Partial Rules During Impact Rule Discovery
- Not so naive Bayes: Aggregating one-dependence estimators Geoffrey I. Webb
- GENERALITY IS MORE SIGNIFICANT THAN COMPLEXITY: TOWARD AN ALTERNATIVE TO OCCAMS RAZOR
- Integrating machine learning with knowledge acquisition through direct interaction with domain experts
- Further Pruning for Efficient Association Rule Discovery
- Webb, G.I. (1986) "Knowledge Based Flow of Control in Computer-Aided Learning" Page 1 of 6 Knowledge-Based Flow of Control in Computer-Aided Learning
- Webb, G.I. (1989) "A Machine Learning Approach to Student Modelling" Page 1 of 9 A machine learning approach to student modelling
- Proceedings of the 1996 Pacific Rim International Conference on Artificial Intelligence, Cairns, Springer-Verlag, pp. 23-34.
- Generality is Predictive of Prediction Accuracy Geoffrey I. Webb and Damien Brain
- Prepublication draft of Webb, G. I. (2002). Integrating Machine Learning with Knowledge Acquisition. In Leondes, C. T. (Ed.), Expert Systems, volume 3, pages 937-
- Webb, G.I. (1989) "Courseware Abstraction: Reducing Development Costs while Producing Qualitative Improvements in CAL" Page 1 of 8
- Polygonal Inductive Generalisation System D.A.Newlands and G.I.Webb
- Chiu, B.C., Webb, G.I. and Zheng, Z "Using Decision Trees for Agent Modelling: A Study on Resolving Confliction Predictions"
- A Heuristic Lazy Bayesian Rule Algorithm Zhihai Wang
- Yip & Webb (1994) "Incorporating Canonical Discriminate Attributes in Classification Learning" Page 1 of 8 Incorporating canonical discriminant attributes
- Mining Negative Rules using GRD D. R. Thiruvady and G. I. Webb
- Published in A. Adams & L. Sterling (Eds) AI 92. World Scientific, Singapore, pp. 329334. MAN-MACHINE COLLABORATION FOR KNOWLEDGE ACQUISITION
- Webb, G.I. DLGref2: Techniques for Inductive Knowledge Refinement, Proceedings of the IJCAI-93 Workshop on Machine Learning and Knowledge Acquisition Page 1 of 17
- Webb, G.I. (1987) "Domain and tutoring knowledge in computer-aided learning" Page 1 of 13 Domain and tutoring knowledge in computer-aided learning
- Webb, G.I. (1988) A knowledge-based approach to computer-aided learning Page 1 of 29 A Knowledge-Based Approach to Computer-Aided Learning
- Filtered-top-k Association Discovery Geoffrey I Webb
- User Modeling and User-Adapted Interaction 8: 131152, 1998. 1998 Kluwer Academic Publishers. Printed in the Netherlands.
- Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
- Incremental Discretization for Nave-Bayes Classifier Jingli Lu, Ying Yang and Geoffrey I. Webb
- Discovering significant rules Geoffrey I. Webb
- Self-Sufficient Itemsets: An Approach to Screening Potentially Interesting Associations Between Items
- Improving the Prediction of the Roll Separating Force in a Hot Steel Finishing Mill
- Efficiently Identifying Exploratory Rules' Significance
- G.I. Webb (1986) The Domain-Analysis Based Instruction System Page 1 of 6 The Domain-Analysis Based Instruction System
- A New Restricted Bayesian Network Classifier Hongbo Shi, Zhihai Wang, Geoff Webb, Houkuan Huang
- Recent progress in machine-expert collaboration for knowledge acquisition. Geoffrey I Webb
- Pre-publication draft. Proceedings of the International Conference on Computers in Education, (Chiba, Japan), IOS Press, Amsterdam, vol. 1, pp. 111-118
- To Select or To Weigh: A Comparative Study of Linear Combination Schemes for
- A Systemic Approach to the Database Marketing Process James E Pearce, Geoffrey I Webb, Robin N Shaw and Brian Garner, Deakin University
- T.J. Richards & G.I. Webb (1985) ECCLES: An Expert System for C.A.L. Page 1 of 6 ECCLES: AN `EXPERT SYSTEM' FOR C.A.L.
- Solving Regression Problems Using Competitive Ensemble Models
- Sanzogni, L., Suraweera, F. and Webb, G.I. (1990) Improving the Efficiency of Rule-Based Expert Systems by Rule Activation Page 1 of 11
- G.I. Webb (1991) Inside the Unification Tutor: The Architecture of An Intelligent Educational System Page 1 of 7
- Nuclear Instruments and Methods in Physics Research A ] (]]]]) ]]]]]] Identifying markers of pathology in SAXS data of malignant
- Adjusting Dependence Relations for Semi-Lazy T AN Classifiers
- On the application of ROC analysis to predict classification performance under varying class distributions
- Pre-publication draft of paper published in Machine Learning, 41, 5387 (2000) c 2000 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Webb & Kuzmycz 1996, Page 1 of 32 FBM: A Methodology for Producing Coherent, Consistent, Dynamically Changing Models of Agent's Competencies.
- Inclusive pruning: A new class of pruning rule for unordered search and its application to classification learning.
- Decreasingly naive Bayes: Aggregating n-dependence estimators
- Pre-publication version of a paper accepted in 2007 for publication in Machine Learning, Springer.1 Classifying under Computational Resource
- Discovering Significant Patterns Geoffrey I. Webb
- Pre-publication version of a paper accepted in 2007 for publication in the proceedings Finding the Right Family: Parent and Child
- Efficient Lazy Elimination for Averaged One-Dependence Estimators naive Bayes, semi-naive Bayes, attribute independence assumption
- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for
- Prepublication draft, to appear in Data Mining and Knowledge Discovery, 10(1), 2005, pp 39-79.
- K-optimal pattern discovery: An efficient and effective approach to exploratory data mining
- Convex Hulls as an Hypothesis Language Bias D.A. Newlands, G.I.Webb
- Alternative Strategies for Decision List Construction
- On detecting differences between groups Geoffrey I. Webb
- Weighted Proportional k-Interval Discretization for Naive-Bayes Classifiers
- Analysis of Stamping Production Data with view towards Quality Bernard Rolfe1*
- A Case Study in Feature Invention for Breast Cancer Diagnosis Using X-Ray Scatter Images
- On Why Discretization Works for Naive-Bayes Classifiers Ying Yang yyang@csse.monash.edu.au
- Non-Disjoint Discretization for Naive-Bayes Classifiers Ying Yang yyang@deakin.edu.au
- T. Elomaa et al. (Eds.): PKDD, LNAI 2431, pp. 62-73, 2002. Springer-Verlag Berlin Heidelberg 2002
- Removing trivial associations in association rule discovery Geoffrey I. Webb and Songmao Zhang
- Frayman, Rolfe & Webb (2002) "Improving an Inverse Model of Sheet MetalForming by Neural Network Based Regression". Page 1 of 12
- A Comparative Study of Discretization Methods for Naive-Bayes Classifiers
- Averaged One-Dependence Estimators: Preliminary Results
- Proportional k-Interval Discretization for Naive-Bayes Classifiers
- Prepublication draft of paper published in Machine Learning, 40, 15939 (2000) c 2000 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- Prepublication draft of paper published in Machine Learning, 35, 521 (1998) c 1998 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
- User Modeling and User-Adapted Interaction 8: 13, 1998. 1998 Kluwer Academic Publishers. Printed in the Netherlands.
- Prepublication draft of paper published in Proceedings of the Fourth International Conference on Intelligent Tutoring Systems,
- Adjusted Probability Naive Bayesian Induction Geo rey I. Webb1 and Michael J. Pazzani2
- Using C4.5 as an Induction Engine for Agent Modelling: An Experiment of Optimisation
- Recent Progress in Learning Decision Lists by Prepending Inferred Rules. Geoffrey I Webb
- Yip & Webb (1994) "Empirical Function Attribute Construction in Classification Learning" Page 1 of 9 Empirical function attribute construction in
- To appear in N. Foo & C. Rowles (Eds) AI 93. World Scientific, Singapore. An expanded version of this paper is available as Deakin University School of Computing and Mathematics
- To appear in Proceedings of the 1993 European Workshop on Knowledge Acquisition for Knowledge-based Systems, Toulous, France
- Kuzmycz, M. & Webb, G.I. "Evaluation of Feature Based Modelling in Subtraction" Page 1 of 6
- Yip & Webb (1992) "Function Finding in Classification Learning Page 1 of 8 Function finding in classification learning
- M.A. Kuzmycz & G.I. Webb "Modelling Elementary Subtraction: Intelligent Warfare Against Bugs" Page 1 of 8
- EDUCATIONAL EVALUATION OF FEATURE-BASED MODELLING IN A PROBLEM SOLVING DOMAIN
- Webb, G. I., G. Cumming, T. Richards, and K-K. Yum (1989). The Unification Tutor: An Intelligent Educational System in the Classroom. Page 1 of 12
- T. Richards, G. I. Webb and N. Craske (1988). "Object-oriented Control for Intelligent Computer Assisted Learning Systems ". Page 1 of 15
- Webb, G.I. (1988) Techniques for efficient empirical induction Page 1 of 13 TECHNIQUES FOR EFFICIENT EMPIRICAL INDUCTION
- Generality is Predictive of Prediction Accuracy Geoffrey I. Webb1
- Anytime learning and classification for online applications
- Discretization for naive-Bayes learning: managing discretization bias and variance
- Anytime Classification for A Pool of Instances School of Computer Science and Engineering
- G.I. Webb (1990) Rule Optimization and theory optimisation: Heuristic Search Strategies for Data Driven Machine Learning
- Yip & Webb (1992) Discriminant Attribute Finding in Classification Learning Proceedings of 5th
- Paper Title Ensemble Selection for SuperParent-One-Dependence Estimators
- Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble
- G.I. Webb (1987) Generative CAL and courseware abstraction Page 1 of 10 Generative CAL and courseware abstraction
- Proc. Sixteenth Int. Joint Conf. on Artificial Intelligence, Morgan Kaufmann, San Francisco, CA, pp. 702-707. Decision Tree Grafting From the All-Tests-But-One Partition
- Webb, G.I. (1991) An attribute-value machine learning approach to student modelling Page 1 of 10
- Learning Decision Lists by Prepending Inferred Rules. Geoffrey I Webb
- Selective Augmented Bayesian Network Classifiers Based on Rough Set Theory
- Webb & Agar (1991). The Application of Machine Learning to the Diagnosis of Glomerular Disease. Page 1 of 7
- Webb & Wells (1996) "Experimental evaluation of integrating machine learning with knowledge acquisition through direct interaction with domain experts" Page 1 of 18
- On the effect of data set size on bias and variance in classification learning Damien Brain
- Webb, G.I. (1991) Data Driven Inductive Refinement of Production Rules Page 1 of 7
- Preliminary investigations into statistically valid exploratory rule discovery
- Subsumption Resolution: An Efficient and Effective Technique for Semi-Naive Bayesian Learning
- Learning by extrapolation from marginal to full-multivariate probability distributions
- Techniques for Efficient Learning without Search Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, and