| | Benchmarking attribute selection techniques for data mining (2000)
M.A. Hall and G. Holmes
Working Paper No. 00/10 |
| | Benchmarking attribute selection techniques for discrete class data mining (2002)
M.A. Hall and G. Holmes
Working Paper No. 02/02 |
| | Correlation-based feature selection for discrete and numeric class machine learning (2000)
M.A. Hall
Working Paper No. 00/8 |
| | A development environment for predictive modelling in foods (2000)
G. Holmes and M.A. Hall
Working Paper No. 00/9 |
| | Feature selection for discrete and numeric class machine learning (1999)
M.A. Hall
Working Paper No. 99/4 |
| | Generating rule sets from model trees (1999)
G. Holmes, M.A. Hall and E.T. Frank
Working Paper No. 99/2 |
| | Interactive machine learning—letting users build classifiers (2000)
M.F. Ware, E.T. Frank, G. Holmes, M.A. Hall and I.H. Witten
Working Paper No. 00/4 |
| | Locally weighted naive Bayes (2003)
E.T. Frank, M.A. Hall and B. Pfahringer
Working Paper No. 04/03 |
| | A logistic boosting approach to inducing multiclass alternating decision trees (2002)
G. Holmes, B. Pfahringer, E.T. Frank, R.B. Kirkby and M.A. Hall
Working Paper No. 01/02 |
| | Racing committees for large datasets (2002)
E.T. Frank, G. Holmes, R.B. Kirkby and M.A. Hall
Working Paper No. 03/02 |
| | A simple approach to ordinal classification (2001)
E.T. Frank and M.A. Hall
Working Paper No. 01/5 |
| | Visualizing class probability estimators (2003)
E.T. Frank and M.A. Hall
Working Paper No. 02/03 |
| | Weka: practical machine learning tools and techniques with Java implementations (1999)
I.H. Witten, E.T. Frank, L.E. Trigg, M.A. Hall, G. Holmes and S.J. Cunningham
Working Paper No. 99/11 |
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