A-G H-L M-P R-Z
close this section of the libraryHolmes, G. (19)
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
Computer concepts without computers: a first course in computer science (1997)
G. Holmes, T.C. Smith and W.J. Rogers
Working Paper No. 97/7
Correcting English text using PPM models (1997)
W.J. Teahan, S.J. Inglis, J.G. Cleary and G. Holmes
Working Paper No. 97/26
A development environment for predictive modelling in foods (2000)
G. Holmes and M.A. Hall
Working Paper No. 00/9
A diagnostic tool for tree based supervised classification learning algorithms (1999)
G. Holmes and L.E. Trigg
Working Paper No. 99/3
Discovering inter-attribute relationships (1997)
G. Holmes
Working Paper No. 97/13
Freezing rich fragments of the World Wide Web (1997)
G. Holmes and W.J. Rogers
Working Paper No. 97/11
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
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
The LRU*WWW proxy cache document replacement algorithm (1999)
C. Chang, A.J. McGregor and G. Holmes
Working Paper No. 99/9
Mining data streams using option trees (2003)
G. Holmes, B. Pfahringer and R.B. Kirkby
Working Paper No. 08/03
Mining data streams using option trees (revised edition, 2004) (2004)
G. Holmes, R.B. Kirkby and B. Pfahringer
Working Paper No. 03/2004
Naive Bayes for regression (1998)
E.T. Frank, L.E. Trigg, G. Holmes and I.H. Witten
Working Paper No. 98/15
Predicting apple bruising using machine learning (1998)
G. Holmes, S.J. Cunningham, B.T. Dela Rue and A.F. Bollen
Working Paper No. 98/7
Racing committees for large datasets (2002)
E.T. Frank, G. Holmes, R.B. Kirkby and M.A. Hall
Working Paper No. 03/02
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

Working Papers Series, ISSN: 1170-487X

Contact: working-papers@cs.waikato.ac.nz

Department of Computer Science, University of Waikato, Hamilton, New Zealand.

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