Witten, Ian H.

16 publications

JMLR 2010 WEKA−Experiences with a Java Open-Source Project Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten

ECML-PKDD 2008 One-Class Classification by Combining Density and Class Probability Estimation Kathryn Hempstalk, Eibe Frank, Ian H. Witten

ALT 2002 Learning Structure from Sequences, with Applications in a Digital Library Ian H. Witten

ICML 2002 Modeling for Optimal Probability Prediction Yong Wang, Ian H. Witten

MLJ 2000 Naive Bayes for Regression (Technical Note) Eibe Frank, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten

IJCAI 1999 Domain-Specific Keyphrase Extraction Eibe Frank, Gordon W. Paynter, Ian H. Witten, Carl Gutwin, Craig G. Nevill-Manning

JAIR 1999 Issues in Stacked Generalization Kai Ming Ting, Ian H. Witten

ICML 1999 Making Better Use of Global Discretization Eibe Frank, Ian H. Witten

ICML 1998 Generating Accurate Rule Sets Without Global Optimization Eibe Frank, Ian H. Witten

MLJ 1998 Using Model Trees for Classification Eibe Frank, Yong Wang, Stuart Inglis, Geoffrey Holmes, Ian H. Witten

ICML 1998 Using a Permutation Test for Attribute Selection in Decision Trees Eibe Frank, Ian H. Witten

JAIR 1997 Identifying Hierarchical Structure in Sequences: A Linear-Time Algorithm Craig G. Nevill-Manning, Ian H. Witten

IJCAI 1997 Stacked Generalizations: When Does It Work? Kai Ming Ting, Ian H. Witten

ICML 1997 Stacking Bagged and Dagged Models Kai Ming Ting, Ian H. Witten

MLJ 1994 Complexity-Based Induction Darrell Conklin, Ian H. Witten

ICML 1988 On Asking the Right Questions Brent J. Krawchuk, Ian H. Witten