| | Applications of machine learning in information retrieval (1997)
S.J. Cunningham, J.N. Littin and I.H. Witten
Working Paper No. 97/6 |
| | Automating iterative tasks with programming by demonstration: a user evaluation (1999)
G.W. Paynter and I.H. Witten
Working Paper No. 99/7 |
| | A bridge between Greenstone and DSpace (2005)
I.H. Witten, D. Bainbridge, R. Tansley, C.-Y. Huang and K. Don
Working Paper No. 02/2005 |
| | Browsing in digital libraries: a phrase-based approach (1997)
C.G. Nevill-Manning, I.H. Witten and G.W. Paynter
Working Paper No. 97/4 |
| | Clustering with finite data from semi-parametric mixture distributions (1999)
Y. Wang and I.H. Witten
Working Paper No. 99/14 |
| | A compression-based algorithm for Chinese word segmentation (1999)
W.J. Teahan, Y.Y. Wen, R.J. McNab and I.H. Witten
Working Paper No. 99/13 |
| | Extracting text from PostScript (1997)
C.G. Nevill-Manning, T. Reed and I.H. Witten
Working Paper No. 97/10 |
| | Generating accurate rule sets without global optimization (1998)
E.T. Frank and I.H. Witten
Working Paper No. 98/2 |
| | 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 |
| | KEA: practical automatic keyphrase extraction (2000)
I.H. Witten, G.W. Paynter, E.T. Frank, C.A. Gutwin and C.G. Nevill-Manning
Working Paper No. 00/5 |
| | Learning from batched data: model combination vs data combination (1997)
K.M. Ting, B.T. Low and I.H. Witten
Working Paper No. 97/14 |
| | Lexical attraction for text compression (1999)
J. Bach and I.H. Witten
Working Paper No. 99/1 |
| | Managing multiple collections, multiple languages, and multiple media in a distributed digital library (1998)
I.H. Witten, R.J. McNab, S.R. Jones, S.J. Cunningham, D. Bainbridge and M.D. Apperley
Working Paper No. 98/9 |
| | Naive Bayes for regression (1998)
E.T. Frank, L.E. Trigg, G. Holmes and I.H. Witten
Working Paper No. 98/15 |
| | Pace regression (1999)
Y. Wang and I.H. Witten
Working Paper No. 99/12 |
| | Reduced-error pruning with significance tests (1999)
E.T. Frank and I.H. Witten
Working Paper No. 99/10 |
| | Stacked generalization: when does it work? (1997)
K.M. Ting and I.H. Witten
Working Paper No. 97/3 |
| | Stacking bagged and dagged models (1997)
K.M. Ting and I.H. Witten
Working Paper No. 97/9 |
| | Text categorization using compression models (2000)
E.T. Frank, C.K. Chui and I.H. Witten
Working Paper No. 00/2 |
| | Using compression to identify acronyms in text (2000)
S.A. Yeates, D. Bainbridge and I.H. Witten
Working Paper No. 00/1 |
| | Using model trees for classification (1997)
E.T. Frank, Y. Wang, S.J. Inglis, G. Holmes and I.H. Witten
Working Paper No. 97/12 |
| | 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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