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Disambiguation of "Webb, G.I."

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Subsumption Resolution: An Efficient and Effective Technique for Semi-Naive Bayesian Learning

, , , and . Machine Learning, 87 (1): 93-125 (2012)

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Katharine Joy Webb

Molecular and cellular characterisation of neurogenesis control and addiction behaviour in zebrafish. TU München, (2009)

Uta Elisabeth Webbeler

Richard Webb

Sharon Webb

Nick Webb

 

Other publications of authors with the same name

Anytime Classification for a Pool of Instances, , and . Machine Learning, 77 (1): 61-102 (2009)Efficiently Identifying Exploratory Rules' Significance, and . Proceedings of the Third Australasian Data Mining Conference (AusDM04), page 169-182. Sydney, University of Technology, (2004)Analysis of Stamping Production Data with View Towards Quality Management, , , and . Proceedings of the 9th International Conference on Manufacturing Excellence (ICME 03), (2003)A Comparative Study of Semi-naive Bayes Methods in Classification Learning, and . Proceedings of the Fourth Australasian Data Mining Conference (AusDM05), page 141-156. Sydney, University of Technology, (2005)Classifying under Computational Resource Constraints: Anytime Classification Using Probabilistic Estimators, , , and . Machine Learning, 69 (1): 35-53 (2007)Feature Based Modelling: A methodology for producing coherent, consistent, dynamically changing models of agents' competenecies. User Modeling and User-Adapted Interaction, 5 (2): 117--150 (1996)Discovery of Amino Acid Motifs for Thrombin Cleavage and Validation Using a Model Substrate, , , , , , , , , and . Biochemistry, 50 (48): 10499-10507 (2011)Incremental Discretization for Naive-Bayes Classifier, , and . Lecture Notes in Computer Science 4093: Proceedings of the Second International Conference on Advanced Data Mining and Applications (ADMA 2006), page 223-238. Berlin, Springer, (2006)DLGref2: Techniques for Inductive Rule Refinement. Proceedings of the 1993 IJCAI Workshop W16: Machine Learning and Knowledge Acquisition, page 236-252. (1993)Discretization for Naive-Bayes Learning: Managing Discretization Bias and Variance, and . Machine Learning, 74 (1): 39-74 (2009)