| * | 2008 |
| 31 | EE | Andrea Torsello,
David L. Dowe:
Learning a Generative Model for Structural Representations.
Australasian Conference on Artificial Intelligence 2008: 573-583 |
| 30 | EE | Andrea Torsello,
David L. Dowe:
Supervised learning of a generative model for edge-weighted graphs.
ICPR 2008: 1-4 |
| 29 | EE | David L. Dowe:
Foreword re C. S. Wallace.
Comput. J. 51(5): 523-560 (2008) |
| 2007 |
| 28 | EE | Gerhard Visser,
David L. Dowe:
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties.
ACIS-ICIS 2007: 17-22 |
| 27 | EE | A. P. Dalgleish,
David L. Dowe,
Imants D. Svalbe:
Tomographic Reconstruction of Images from Noisy Projections - A Preliminary Study.
Australian Conference on Artificial Intelligence 2007: 539-548 |
| 26 | EE | Peter J. Tan,
David L. Dowe,
Trevor I. Dix:
Building Classification Models from Microarray Data with Tree-Based Classification Algorithms.
Australian Conference on Artificial Intelligence 2007: 589-598 |
| 2006 |
| 25 | EE | T. Maheswaran,
J. G. Sanjayan,
David L. Dowe,
Peter J. Tan:
MML Mixture Models of Heterogeneous Poisson Processes with Uniform Outliers for Bridge Deterioration.
Australian Conference on Artificial Intelligence 2006: 322-331 |
| 24 | EE | Peter J. Tan,
David L. Dowe:
Decision Forests with Oblique Decision Trees.
MICAI 2006: 593-603 |
| 2005 |
| 23 | EE | Lara Kornienko,
David W. Albrecht,
David L. Dowe:
A Preliminary MML Linear Classifier Using Principal Components for Multiple Classes.
Australian Conference on Artificial Intelligence 2005: 922-926 |
| 22 | EE | McGregor J. Collie,
David L. Dowe,
Leigh J. Fitzgibbon:
Stock Market Simulation and Inference Technique.
HIS 2005: 534-538 |
| 2004 |
| 21 | EE | Peter J. Tan,
David L. Dowe:
MML Inference of Oblique Decision Trees.
Australian Conference on Artificial Intelligence 2004: 1082-1088 |
| 2003 |
| 20 | EE | Peter J. Tan,
David L. Dowe:
MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes.
Australian Conference on Artificial Intelligence 2003: 269-281 |
| 19 | EE | Yudi Agusta,
David L. Dowe:
Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML.
Australian Conference on Artificial Intelligence 2003: 477-489 |
| 2002 |
| 18 | EE | Lara Kornienko,
David L. Dowe,
David W. Albrecht:
Message Length Formulation of Support Vector Machines for Binary Classification - A Preliminary Scheme.
Australian Joint Conference on Artificial Intelligence 2002: 119-130 |
| 17 | EE | Peter J. Tan,
David L. Dowe:
MML Inference of Decision Graphs with Multi-way Joins.
Australian Joint Conference on Artificial Intelligence 2002: 131-142 |
| 16 | EE | Yudi Agusta,
David L. Dowe:
MML Clustering of Continuous-Valued Data Using Gaussian and t Distributions.
Australian Joint Conference on Artificial Intelligence 2002: 143-154 |
| 15 | | Leigh J. Fitzgibbon,
David L. Dowe,
Lloyd Allison:
Univariate Polynomial Inference by Monte Carlo Message Length Approximation.
ICML 2002: 147-154 |
| 14 | EE | Leigh J. Fitzgibbon,
David L. Dowe,
Lloyd Allison:
Change-Point Estimation Using New Minimum Message Length Approximations.
PRICAI 2002: 244-254 |
| 2000 |
| 13 | EE | Leigh J. Fitzgibbon,
Lloyd Allison,
David L. Dowe:
Minimum Message Length Grouping of Ordered Data.
ALT 2000: 56-70 |
| 12 | | Anthony R. Jansen,
David L. Dowe,
Graham E. Farr:
Inductive Inference of Chess Player Strategy.
PRICAI 2000: 61-71 |
| 1999 |
| 11 | EE | Murlikrishna Viswanathan,
Chris S. Wallace,
David L. Dowe,
Kevin B. Korb:
Finding Cutpoints in Noisy Binary Sequences - A Revised Empirical Evaluation.
Australian Joint Conference on Artificial Intelligence 1999: 405-416 |
| 10 | | David L. Dowe,
Klaus Prank:
Information Theoretic Approaches to Biology - Session Introduction.
Pacific Symposium on Biocomputing 1999: 252-253 |
| 9 | | Chris S. Wallace,
David L. Dowe:
Minimum Message Length and Kolmogorov Complexity.
Comput. J. 42(4): 270-283 (1999) |
| 8 | | Chris S. Wallace,
David L. Dowe:
Refinements of MDL and MML Coding.
Comput. J. 42(4): 330-337 (1999) |
| 7 | | Chris S. Wallace,
David L. Dowe:
Rejoinder.
Comput. J. 42(4): 345-347 (1999) |
| 1998 |
| 6 | | David R. Powell,
Lloyd Allison,
Trevor I. Dix,
David L. Dowe:
Alignment of Low Information Sequences.
CATS 1998: 215-230 |
| 5 | | David L. Dowe,
Lloyd Allison,
Glen Pringle:
The Hunter and the Hunted - Modelling the Relationship Between Web Pages and Search Engines.
PAKDD 1998: 380-382 |
| 4 | | David L. Dowe,
Rohan A. Baxter,
Jonathan J. Oliver,
Chris S. Wallace:
Point Estimation Using the Kullback-Leibler Loss Function and MML.
PAKDD 1998: 87-95 |
| 3 | | Russell T. Edwards,
David L. Dowe:
Single Factor Analysis in MML Mixture Modelling.
PAKDD 1998: 96-109 |
| 2 | EE | Glen Pringle,
Lloyd Allison,
David L. Dowe:
What is a Tall Poppy Among Web Pages?
Computer Networks 30(1-7): 369-377 (1998) |
| 1996 |
| 1 | | David L. Dowe,
Jonathan J. Oliver,
Chris S. Wallace:
MML Estimation of the Parameters of the Sherical Fisher Distribution.
ALT 1996: 213-227 |