2008 |
24 | EE | Eibe Frank,
Mark Hall:
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem.
Australasian Conference on Artificial Intelligence 2008: 435-446 |
23 | | Mark Hall,
Eibe Frank:
Combining Naive Bayes and Decision Tables.
FLAIRS Conference 2008: 318-319 |
2007 |
22 | EE | Mark Hall:
A decision tree-based attribute weighting filter for naive Bayes.
Knowl.-Based Syst. 20(2): 120-126 (2007) |
2005 |
21 | EE | Marc Sumner,
Eibe Frank,
Mark A. Hall:
Speeding Up Logistic Model Tree Induction.
PKDD 2005: 675-683 |
20 | | Eibe Frank,
Mark A. Hall,
Geoffrey Holmes,
Richard Kirkby,
Bernhard Pfahringer:
WEKA - A Machine Learning Workbench for Data Mining.
The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314 |
19 | EE | Yu Wang,
Igor V. Tetko,
Mark A. Hall,
Eibe Frank,
Axel Facius,
Klaus F. X. Mayer,
Hans-Werner Mewes:
Gene selection from microarray data for cancer classification - a machine learning approach.
Computational Biology and Chemistry 29(1): 37-46 (2005) |
18 | EE | Deborah Gill-Hesselgrave,
Mark Hall:
Ease your design anguish.
Interactions 12(1): 12-17 (2005) |
17 | EE | Niels Landwehr,
Mark Hall,
Eibe Frank:
Logistic Model Trees.
Machine Learning 59(1-2): 161-205 (2005) |
2004 |
16 | EE | Stefan Mutter,
Mark Hall,
Eibe Frank:
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining.
Australian Conference on Artificial Intelligence 2004: 538-549 |
15 | EE | Anthony McGregor,
Mark Hall,
Perry Lorier,
James Brunskill:
Flow Clustering Using Machine Learning Techniques.
PAM 2004: 205-214 |
14 | EE | Eibe Frank,
Mark Hall,
Leonard E. Trigg,
Geoffrey Holmes,
Ian H. Witten:
Data mining in bioinformatics using Weka.
Bioinformatics 20(15): 2479-2481 (2004) |
2003 |
13 | EE | Niels Landwehr,
Mark Hall,
Eibe Frank:
Logistic Model Trees.
ECML 2003: 241-252 |
12 | EE | Eibe Frank,
Mark Hall:
Visualizing Class Probability Estimators.
PKDD 2003: 168-179 |
11 | | Eibe Frank,
Mark Hall,
Bernhard Pfahringer:
Locally Weighted Naive Bayes.
UAI 2003: 249-256 |
10 | EE | Mark Hall,
Geoffrey Holmes:
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining.
IEEE Trans. Knowl. Data Eng. 15(6): 1437-1447 (2003) |
2002 |
9 | EE | Eibe Frank,
Geoffrey Holmes,
Richard Kirkby,
Mark Hall:
Racing Committees for Large Datasets.
Discovery Science 2002: 153-164 |
8 | EE | Geoffrey Holmes,
Bernhard Pfahringer,
Richard Kirkby,
Eibe Frank,
Mark Hall:
Multiclass Alternating Decision Trees.
ECML 2002: 161-172 |
2001 |
7 | EE | Eibe Frank,
Mark Hall:
A Simple Approach to Ordinal Classification.
ECML 2001: 145-156 |
6 | EE | Andrew Turpin,
Eibe Frank,
Mark Hall,
Ian H. Witten,
Chris A. Johnson:
Determining Progression in Glaucoma Using Visual Fields.
PAKDD 2001: 136-147 |
5 | EE | Malcolm Ware,
Eibe Frank,
Geoffrey Holmes,
Mark Hall,
Ian H. Witten:
Interactive machine learning: letting users build classifiers.
Int. J. Hum.-Comput. Stud. 55(3): 281-292 (2001) |
2000 |
4 | | Mark A. Hall:
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning.
ICML 2000: 359-366 |
1999 |
3 | | Geoffrey Holmes,
Mark Hall,
Eibe Frank:
Generating Rule Sets from Model Trees.
Australian Joint Conference on Artificial Intelligence 1999: 1-12 |
2 | | Mark A. Hall,
Lloyd A. Smith:
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper.
FLAIRS Conference 1999: 235-239 |
1995 |
1 | EE | Mark A. Hall:
Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm.
ANNES 1995: 182-189 |